Artificial intelligence agents have emerged as the next big force for digital transformation with their innovative and groundbreaking applications. The rising use of AI agents has created many new jobs for professionals who know how to work with agentic AI systems. If you are looking to upgrade your career, the new Certified AI Agents Manager certification launched by 101 Blockchains is your trusted source to build a successful career with agentic AI. We are proud to introduce the world’s first accredited certification program on AI agents that brings huge benefits to any professional’s career.

Almost 88% of senior executives claim that their organizations want to increase AI budgets due to agentic AI (Source). In the same survey, 66% of participating companies revealed that they had achieved measurable improvements in productivity with AI agents. We have created a new accredited certification program that will help you specialize in using AI agents to solve real business problems. Let us show you some of the most interesting details about the new certification program and how it will help your career.

The Certified AI Agents Manager (CAIAM) Certification Course  

Our team at 101 Blockchains constantly follows the AI space to identify new trends that will have a significant impact on job markets worldwide. We have discovered that agentic AI is the next big thing in AI job markets, and the rising demand for agentic AI professionals proves the same. The IDC has pointed out that almost 45% of organizations will manage AI agents at scale by 2030 across various business functions (Source). You can clearly see that more companies will adopt AI agents and end up searching for skilled agentic AI managers.

Our Certified AI Agents Manager (CAIAM) certification program aims to offer a trusted credential to validate your agentic AI expertise. The certification program has been accredited by CPD Certification Service, UK, and you will be granted 16 hours of CPD credit upon completing the certification course. As the world’s first accredited certification for AI agent managers, it offers the credibility that many professionals struggle to build. You can rely on the certification course to learn agentic AI skills and prove your commitment to becoming a specialist in managing AI agents.

The Certified AI Agents Manager certification course covers lessons on the fundamental concepts of agentic systems, AI agent architecture, and components. You will learn the difference between single-agent and multi-agent systems in terms of design and orchestration. The certification program also sheds light on agentic AI tools, the agentic ecosystem, and real-world applications. Furthermore, you can find valuable insights on agentic AI governance, AgentOps, risk management, and the best practices for monitoring and performance optimization. The hands-on exercises in the certification program offer a huge boost to every learner in building practical skills.

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How Does an Accredited Certification for AI Agents Help Learners?

The accreditation by CPD Certification Service, UK, is the biggest highlight of our new AI agent manager certification program. You might be wondering about how an accredited AI agents certification program is better than other certifications for agentic AI. Learners must know that an accredited certification brings more value to their career with some notable advantages.

• Highest Standards of Quality

One of the foremost benefits of an accredited certification for learners is the assurance of the best quality of training. You must remember that the CPD Certification Service awards accreditation to certification programs that follow strict standards in their course content and training quality.

• Better Appeal to Employers

The best thing about choosing an accredited certification in agentic AI is the opportunity to attract the attention of employers. Accredited certifications showcase that you have acquired expertise in managing AI agents with learning resources of the highest standard. Professionals with an accredited certification become the first choice of employers for AI job roles, especially the emerging ones.

• Never Lose Credibility

The new AI agents expert certification launched by 101 Blockchains also empowers you with credibility that is hard to ignore. Accredited certification programs need to go through comprehensive reviews and assessments to ensure that the course content is genuine and relevant to the title. As a result, you don’t have to worry about learning the wrong skills or losing your credibility in front of employers.

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Target Audience for the Certified AI Agents Manager (CAIAM) Certification Course

We have come up with a new accredited certification on AI agent management to fulfill the dreams of aspiring AI professionals. You can also become a certified expert in managing AI agents and take your career as an AI professional to new heights. Anyone who wants to become a certified AI agents manager is the target audience for this certification program, along with other learner groups.

• Product managers and product owners can use the certification to learn how to design and manage their own products and workflows with AI agents.
• Engineers, data, and AI professionals will acquire the skills for developing, integrating, and deploying AI agents.
• Founders, members of strategy teams, and innovation leads build the confidence to drive AI adoption and automation projects in the right direction.
• Enterprise stakeholders can rely on the CAIAM certification to become specialists in managing AI governance, risk, and readiness.

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Basic Information about the Certified AI Agents Manager (CAIAM) Certification Course   

As a learner interested in agentic AI careers, you might be curious to know what the new accredited AI agent manager certification has in store for you. The learning outcomes of the certification program provide a clear glimpse of what you can achieve by completing the certification.

• Acquire skills to design agentic AI systems with fluent knowledge of how agents think, plan, and execute real-world workflows.
• Specialize in the best practices for defining agent behavior, human-in-the-loop systems, guardrails, and tool usage to design agentic AI systems.
• Master the best ways to launch, manage, and scale AI agents with skills to use evaluation metrics, monitoring, security practices, and clear ROI strategies.

The new Certified AI Agents Manager certification launched by 101 Blockchains offers a comprehensive set of lessons to help you achieve these learning outcomes. You should take a look at the list of lessons in the certification course to get a better understanding of what you can gain from this certification.

• The fundamental concepts of AI and agentic AI
• Architecture, components, and frameworks in agentic AI
• Design and orchestration of single-agent and multi-agent systems
• AI agent tools and ecosystem, and use cases in the real world
• Best practices for agentic governance, AgentOps, and risk management
• Monitoring and performance optimization of AI agents and future trends

Top Reasons to Choose the Certified AI Agents Manager (CAIAM) Certification Course 

The Certified AI Agents Manager certification course brings the assurance of many benefits that will elevate your career in AI. You can build a successful career in the domain of agentic AI with the value of an accredited certification that also offers other practical advantages.

• Accredited Certification 

Learners will get 16 hours of CPD credit upon successfully completing the CAIAM certification program. As an accredited certification program, it enhances your credibility and makes you an instantly appealing candidate for employers.

• Training with Experts

The next reason to choose our accredited AI agent manager certification is the benefit of learning from industry experts. There is no denying the fact that acquiring agentic AI expertise under the guidance of instructors who have professional experience with AI agents offers significant benefits.

• Practical Learning

One of the significant details about the Certified AI Agents Manager certification program is the advantage of hands-on training. Learners will not only discover new concepts in agentic AI but also see how they work in the real world. You will not only learn new skills to manage AI agents but also gain practical experience in implementing them.

Final Thoughts 

We have introduced the new Certified AI Agents Manager (CAIAM) certification program as an effort to help you build a career in agentic AI. Our new certification course offers a strong advantage to every aspiring AI agent manager with comprehensive and hands-on training. You will get the benefits of instant recognition and develop relevant skills with our accredited AI agent management certification program. Learn more about the certification course and discover how it can promote your career in AI.

The post Announcement – Certified AI Agents Manager (CAIAM)™ Certification Launched appeared first on 101 Blockchains.

As the date of implementation for the England and Scotland DRS looms nearer, we look at the challenges of implementing and operating in Ireland; how were these challenges met and what were the key lessons learnt?

Agenda:
13:00 – Introductions, Kirstin Roberts & Enda Kiernan, CIWM Midlands & CIWM ROI Regional Chairs
13:05 – What has worked well? Bernie Kiely, DCEE 
13:10 – Fraud & waste crime; Ciaran Foley, Re-turn
13:15 – Retailer view; Tony Harris, Tesco & Vincent Jennings, CSNA 
13:30 – Coulda, woulda, shoulda; Conor Walsh, SLR Consulting & Alice Rackley, Polytag 
13:40 – Q&A 
14:00 – close

The post CIWM ROI & Midlands Joint Webinar – DRS: Coulda, Shoulda, Woulda (Learnings from Ireland’s Implementation) appeared first on Circular Online.

Blockchain technology attracted the limelight for its most appealing trait, safeguards against cyber threats with cryptographic security. The problem is that malicious actors always find a way to break into the most secure Web3 and blockchain protocols. This is where blockchain threat intelligence comes into the picture as a feasible solution to identify and address blockchain security vulnerabilities. The only way to stay safe is to understand the different types of security threats in the blockchain space.

• One notable incident of access control exploits in 2025 led to theft of $1.8 billion in Bitcoin (Source).   
• The blockchain industry has already lost $600 million to hacks in 2026 (Source). 
• Illicit financial activity on cryptocurrency addresses reached almost $154 billion in 2025 (Source). 

The growing magnitude of threats to blockchain security has shifted the attention towards blockchain security intelligence. You must understand the difference between analytics and threat intelligence to discover how intelligence can help you design a proactive approach to risk mitigation. Anyone who knows how to leverage blockchain protocol intelligence to their advantage can find the ideal paths to navigate the blockchain and web3 space.

Understanding the Meaning of Blockchain Threat Intelligence

You will find multiple definitions of blockchain protocol intelligence, each one with a distinct perspective. The common answers to “What is blockchain threat intelligence?” describe it as proactive collection, organization, and analysis of on-chain data to safeguard decentralized systems from emerging threats. Blockchain or web3 threat intelligence focuses on mapping trends, detecting patterns, and identifying potential risks in blockchain transactions.

Web3 threat intelligence analysts conduct comprehensive analysis of timestamps, addresses, cryptocurrencies, and services used in blockchain transactions. The analysis reveals valuable insights and help a lot in maintaining the integrity of blockchain and web3 solutions. Blockchain protocol intelligence helps you leverage on-chain data as an invaluable resource to identify patterns indicating suspicious token movement or unusual smart contract calls. 

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Are Blockchain Threat Intelligence and Blockchain Analytics Different?

Blockchain analytics and blockchain protocol intelligence might sound like the same thing for someone who is new to blockchain. The techniques serve a valuable role in crypto and blockchain analysis albeit with differences in specific aspects.   

• Primary Goals

Blockchain analytics revolves around collecting and organizing raw blockchain data, including transactions, addresses, and balances, and reporting them. On the other hand, blockchain intelligence combines on-chain data and off-chain information to offer a more comprehensive impression of blockchain risks, transactions, and entities.

• Capabilities

The functionalities of blockchain analytics tools focus on address clustering, basic risk scoring, and transaction tracing. Blockchain or web3 threat intelligence calls for more sophisticated analysis along with the techniques used in blockchain analytics. The capabilities of web3 threat intelligent platforms empower dynamic risk detection with the help of cross-chain analytics and behavioral patterns.

• Applications

You can also uncover the difference between blockchain analytics and intelligence in the applications they serve. Interestingly, both of them are useful techniques for investigations and regulatory compliance albeit with blockchain protocol intelligence having an upper hand. Blockchain or web3 intelligence offers enhanced functionality in detection of complex patterns, facility of actionable insights, and an in-depth understanding of transaction objectives.

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How Does Blockchain Threat Intelligence Work?

You can clearly see that blockchain or web3 and crypto threat intelligence is an evolved and more comprehensive type of blockchain analytics. The best way to understand the importance of blockchain threat intelligence requires learning how it works. An overview of the different components of blockchain or web3 intelligence will help you discover why it matters now.

• Address Clustering

The foremost component of web3 intelligence involves organizing blockchain addresses in groups based on transaction patterns, shared infrastructure and behavioral signals. As a result, you can identify which entities are responsible for transactions on specific addresses.

• OSINT and KYC Mapping

Blockchain or web3 intelligence also involves combining open-source intelligence or OSINT with Know Your Customer or KYC data. Furthermore, blockchain protocol intelligence integrates OSINT and KYC data with sanction lists and other off-chain data. It plays a crucial role in tracing blockchain transactions to real-world actors, thereby enhancing accountability.

• Risk Detection and Scoring 

You must also know that blockchain or web3 threat intelligence involves implementing transaction monitoring, sanctions screening, and behavioral monitoring logic to on-chain activity. Automated models can help with accurate assessment of exposure to illicit finance risks and safeguard blockchain protocols.

• Graph Analysis

The working of blockchain threat intelligence also focuses on leveraging visualization and network analysis methods. Visualization through graphs helps with mapping the flow of funds across different chains, services, and wallets. The insights from graph analysis can ensure easier identification of relevant patterns, intermediaries, and points of exposure.

• Cross-Chain Transaction Tracing 

The utility of blockchain or web3 intelligence also extends to monitoring the movement of assets across different blockchain networks, DeFi protocols, and bridges. As a result, you can notice significant improvement in visibility, especially for blockchain and crypto ecosystems with different complexities. 

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Where Do You See the Biggest Impact of Blockchain Threat Intelligence?

The components of blockchain protocol intelligence showcase how it enables proactive risk detection and mitigation. You will find notable use cases of blockchain or web3 threat intelligence in the areas of incident response and regulatory compliance.

• Incident Response 

If anyone asks you about the most common application of blockchain intelligence, then you can point towards cybersecurity investigations. Blockchain protocol intelligence can help in drawing relationships between smart contract exploits, phishing attacks and wallet thefts with blockchain transaction data, thereby making it easier to find attackers.

Accurate assessment of behavioral signals in blockchain or web3 threat intelligence enables earlier detection of possibilities of fraud and scams. You can also monitor liquidity pools, token contracts, and cross-chain bridges in the DeFi ecosystem to identify vulnerabilities. Integration of blockchain or web3 intelligence into incident response mechanisms can help in achieving faster responses and support coordinated enforcement.

• Crypto Compliance

You will also note that blockchain protocol intelligence is a powerful tool to ensure crypto compliance and effective risk management. The utility of web3 intelligence teams in crypto compliance revolves around gaining comprehensive insights into on-chain activities and identifying suspicious patterns. With blockchain security intelligence, you can have trace blockchain transactions better and prevent financial crimes.

It is also important to know that blockchain protocol intelligence focuses on efficient KYC and AML processes. Blockchain or web3 intelligence also requires designing sophisticated risk assessment frameworks for blockchain transactions and digital assets. You can see that blockchain protocol intelligence provides the ideal resources and capabilities to improve crypto compliance.

• Law Enforcement

Regulatory and law enforcement authorities have been acknowledging the importance of blockchain threat intelligence in fighting against crypto crime. It can play a major role in tracing the movement of illicit funds across different blockchains and cryptocurrency networks. If you can link blockchain addresses to real-world actors, then it is possible to improve accountability for any activity on blockchain protocols.

Web3 intelligence also utilizes advanced analytics to recognize patterns and anomalies that are common in illicit transactions, thereby ensuring faster reporting to law enforcement. The immutable and transparent evidence in web3 threat intelligence provides strong for legal proceedings.

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Final Thoughts

Blockchain and Web3 did not just redefine technology; they made huge strides towards decentralized systems that democratize technology. At the same time, the growing use of blockchain has not prevented malicious actors from breaking into vulnerabilities. Therefore, blockchain threat intelligence has emerged as a promising and proactive solution to deal with emerging risks in the blockchain and Web3 space. Blockchain or web3 intelligence provides the strong foundation required to stay updated with everything that happens on blockchain protocols and in crypto transactions, and ensure that everything is all right. Learn more about blockchain or web3 intelligence with trusted learning resources now.

*Disclaimer: The article should not be taken as, and is not intended to provide any investment advice. Claims made in this article do not constitute investment advice and should not be taken as such. 101 Blockchains shall not be responsible for any loss sustained by any person who relies on this article. Do your own research!

The post What Is Blockchain Threat Intelligence and Why It Matters appeared first on 101 Blockchains.

Michelle Whitfield, Head of Communications & Behaviour Change at GMCA, examines the systemic reasons why people don’t recycle food waste and breaks down what the solutions are.

As local authorities roll out food waste collection services as part of Simpler Recycling, the focus will be on getting the technical service right, including bins, caddies, liners, vehicles and contracts.

But in reality, their success depends on something much less predictable: human behaviour. Even the most efficient collection system will underperform if people do not use it consistently, correctly or at all.

Applying behaviour change theory at the point of service design, not just in supporting communications, can significantly improve participation and capture rates, while reducing contamination and complaints – CIWM’s Behaviour Change Hierarchy provides guidance on how to do this.

In Greater Manchester, food waste has been collected from households with garden waste in a 240-litre wheeled bin for over 10 years. Kitchen caddies are supplied, and most local authorities also supply compostable liners.

The service performs well and captures more than 1.5kg per household per week of food waste, which is comparable to the amount collected from a separate food waste service.

However, despite that, some residents are still not using their food waste collection service, and waste compositional analysis data shows that around 25% of the general waste bin is made up of food waste.

This is reflected in a recent survey, with 21% of residents still placing food waste in the general waste bin. The take-up of food waste collection services is further evidenced by the fact that of those surveyed, 88% regularly recycle using their other bins (paper and mixed recycling), but only 72% regularly recycle all of their food waste.

When asked what type of food waste they recycle, 74% said inedible scraps, whilst only 4 out of 10 use their food waste bin for out-of-date food or fridge clear-outs, pointing to the hassle factor of separating the food waste from the packaging.

Why does behaviour change matter for food waste?

Separate food waste collections ask residents to adopt new routines: scraping plates, storing food waste indoors, finding space for a kitchen caddy and managing odour.

Evidence shows that low participation rarely stems from lack of awareness alone. Instead, barriers are more often linked to habit, convenience, confidence and perceived effort.

Using the COM-B behavioural change model can help to provide a framework to diagnose why people do not participate in food waste collections.

Capability asks whether people feel able to use the service. This includes knowing what goes in the food caddy, how to manage liquids, and what happens to food waste after collection. Research with Greater Manchester households shows that uncertainty and confusion regarding food waste collection services remain.

Opportunity focuses on whether the service fits into daily life. This includes the size and design of caddies, the provision of liners, ease of storage in small kitchens, and reliable collection frequency. Where opportunity is weak, such as no liners provided, awkward caddy design or missed collections, then participation falls regardless of intent.

Motivation covers habits, emotions and social norms. Concerns about smell, hygiene and pests are strongly linked to non-participation, as are perceptions that ‘most people don’t bother’.

Applying behaviour change theory means designing food waste collections around people, rather than expecting people to adapt to the system.

Behaviour change is not linear. Successful authorities test, measure and adapt rather than assuming a one-off launch will deliver long-term change.

Piloting small service tweaks, listening to resident feedback and comparing participation data allows teams to refine services in response to real behaviour, not assumptions.

Clear communications

Many residents say they don’t have any food waste, often because the idea of waste is associated with guilt or avoidable behaviour. In practice, however, food waste includes anything that would normally be thrown in the residual bin.

This covers not only avoidable food such as leftovers or food past its use-by date, but also unavoidable items like egg shells, tea bags and bones. While unavoidable food waste cannot be prevented, avoidable food waste stems from different behaviours, such as over-buying or poor storage.

This distinction between different types of food waste creates a communications challenge. Residents may not recognise unavoidable items as ‘food waste’, even though they are exactly what the service is designed to collect.

As a result, communications about what can and can’t be recycled need to be simple, consistent and supported by clear examples.

Food waste recycling communications should also sit alongside food waste prevention. Pairing service messages with practical tips on meal planning, storage, portioning and preparation helps residents understand both why and how to change behaviour, rather than treating recycling and prevention as separate issues.

To keep messaging clear, it is helpful to build on existing recycling behaviours, which are now a normal and established part of household routines.

Reframing a food waste collection as a food recycling service can help reduce confusion and reinforce that the service accepts all types of food waste, both avoidable and unavoidable, such as leftovers, plate scrapings, tea bags and egg shells.

Communications should also consider the different types of food waste generated by different cultures. Messages should be reinforced around times where food waste increases during religious festivals, for example, such as Passover, Ramadan, and Christmas.

Messaging that reinforces food waste recycling as a social norm, ‘most households here separate food waste’, is more effective than instructional or emotive appeals.

The fact that food waste collections are being rolled out across England will also help to normalise the behaviour of separating food waste from the rest of the household waste.

Next month in Greater Manchester, we are launching a food recycling campaign aimed at residents who do not regularly separate their food waste and those resident who are not capturing all of their food waste.

We will be using data from our survey to inform the campaign, which will be revealed be revealed on our website in June, as well as applying behavioural insight to make sure the communications are clear and accessible to make it as easy as possible for residents to do the right thing.

The post The missing ingredient: Why don’t people recycle food waste?  appeared first on Circular Online.

The growing use of AI content detection tools serves as proof of the fact that AI writing tools deliver a lot of benefits in content creation for different purposes. As the need to prove that content is “human-written” increases, every content creator, student, and marketer must know undetectable artificial intelligence and how to use it. Even though AI detection tools work like the police for digital content, the accuracy and reliability of their results is always under question.

• According to a study published in the MIT Technology Review, the accuracy of AI text detection tools drops from 74% to 42% with few modifications in text generated by ChatGPT (Source).    
• 65% of universities have AI detection policies in place, thereby showcasing the pressure on students to use undetectable AI (Source).

Most of the AI detectors you will find today cannot actually figure out whether a human has written a text. On the contrary, they identify patterns, such as sentence structure, length, and randomness of the text, to determine the likelihood of artificial intelligence writing the text. Undetectable AI offers a promising tool to ensure that AI detection tools don’t stand in the way of your content creation journey. Learning more about undetectable AI and its special features will help you understand its true potential.

Understanding the Undetectable Artificial Intelligence Detector 

The general assumption you may have about undetectable AI is that is represents a collection of tools designed to bypass AI detection tools. In this post, undetectable AI will refer to the namesake online software that helps in converting AI-generated text into human-written content. The search for answers to “Does Undetectable AI actually work?” will lead you to understand that it reduces the possibilities of your content being detected as AI-generated in major AI detectors.

The ideal users for the tool are students, content creators, bloggers, marketers, and freelancers. Students can use the tool to rely on AI for their assignments while ensuring reduced chances of being flagged. Content creators, bloggers, and marketers can also generate AI-assisted articles for their campaigns and scale content output with no fear of penalties. Freelancers also stand to gain a lot from undetectable AI, especially the ones who use AI tools in their workflow.    

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Exploring How Undetectable AI Works

The best way to understand the effectiveness of undetectable AI involves learning about its working mechanism. You must know that undetectable AI leverages machine learning to find out whether a text has been created with the help of AI tools. How does it differentiate AI-generated content from human writing? The undetectable AI detector identifies different signs in the writing, including flawless grammar, spelling, randomness, and formal tone. With the help of these signs, the detector can point out the red flags for AI content.

Once the undetectable AI tool has identified the parts that sound like a language model generated them, it starts its actual work. Undetectable AI will humanize the AI-generated content by

• Replacing the repetitive words and phrases with synonyms
• Adding more details, such as new examples or objective observations
• Switching the tone of sentences and structure to a natural flow
• Making the language in the text simpler

The ability to use these techniques effectively helps undetectable AI in making your text sound more human and less robotic.

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Unraveling the Most Notable Features of Undetectable AI 

The most crucial highlight that differentiates undetectable AI from other humanizer tools is the collection of features it has to offer. You can make the most of the features of undetectable AI to win the tug-of-war battle between AI and authentic content. 

• AI Detector

The in-built content detector in undetectable AI helps in scanning content with multiple popular detection tools. It allows free users to scan up to 10,000 words for AI-generated content, and that too without creating an account. As a result, you can rely on undetectable AI for quick content checks to identify AI-generated text. 

• AI Humanizer

The undetectable AI humanizer is the best feature of the platform and its primary selling point. Users can just paste AI-generated text and choose the writing mode, depending on the purpose, along with the readability level. The humanizer tool will rewrite the pasted text to sound more human and gives you content that bypasses AI detectors.

• Support for Multiple Languages 

Undetectable AI is also one of the few humanizer tools that offer support for more than 50 languages, for AI detection and humanization. The usability of undetectable AI with non-English content makes it a useful tool for a larger and global user base.   

• Multiple Writing Modes

You will find eight different writing modes in undetectable AI, each one tailored to fit in different contexts. The customized writing modes are extremely useful in scenarios where you need your content to match a specific tone. Therefore, you can use undetectable AI to humanize AI-generated text for both marketing emails and academic essays with different modes.

• Chrome Extension and Other Tools

Almost all the undetectable AI reviews praise the tool for offering a Chrome extension, which allows you to access undetectable AI directly in the browser. It ensures that you don’t face any disruptions in your workflow while humanizing AI-generated content. On top of it, undetectable AI has also continues adding new features, such as AI SEO writer, English-to-Spanish translation tool, resume builder, and AI job applier. Although some of these tools are still in the development stages, the versatility that undetectable AI aims to achieve is commendable.

• Clean and Intuitive Interface

If there’s anything that will make users love undetectable AI, then it is the clean and straightforward user interface. You will find a text input box, where you can paste text for detection or humanization, along with a mode selector and humanize button. Users can test the detector feature on undetectable AI without creating an account, thereby ensuring limited onboarding friction. The intuitive dashboard of undetectable AI offers clear labels for every feature, thereby ensuring easier navigation. In addition, the text generation on the platform is extremely fast, happening within few seconds of your request.       

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What are the Benefits of Undetectable AI?

The features of undetectable AI provide a strong explanation for the radical growth in its popularity. You will notice sporadic rise in demand for undetectable AI in the future due to various benefits for users.

• Saving Time

One of the notable reasons to focus on undetectable artificial intelligence is the assurance of saving your valuable time. You don’t have to spend hours in manually proofreading and editing text to avoid being flagged as AI-generated content. Undetectable AI users can complete their work in fewer hours and find more time to focus on other projects or personal responsibilities.

• Bypassing Penalties

Plagiarism is the biggest vice in content creation and even in the domain of academics. Many universities and educational institutions pay close attention to the use of AI in writing assignments. With the help of tools like undetectable AI, students and content creators can avoid the penalties for plagiarism and AI detection.

• Better Output

Another prominent reason for which undetectable AI matters a lot in 2026 is the quality of output it delivers. Undetectable AI can generate high-quality output at par with industry standards that is interesting, relevant and engaging for readers. As a result, your content can resonate well with the target audience and offers the desired returns. 

Final Thoughts 

The emphasis on authentic content has increased by a huge margin in the era of AI-generated content. You will find multiple AI humanizer tools in the market that claim to offer the best results. Undetectable AI stands out in the crowd with an appealing set of features and promising benefits for users. The online tool allows you to rewrite AI-generated text in different modes, depending on your requirements. Users can also choose the level of readability they expect in the content and enjoy support for detection and humanization in more than 50 languages with undetectable AI. Explore the features of undetectable AI and learn how to use the platform right now.

The post What Is Undetectable AI and Why It Matters in 2026? appeared first on 101 Blockchains.

Helen White, Associate Director of Waste and Resource Management at Tetra Tech, explains why, if we want people to waste less food or recycle more, we need to stop relying on awareness and start designing systems that make the right choice the easy choice.

If you work in the resources and waste sector, you’ll know that changing people’s behaviour is rarely straightforward. Whether we are talking about citizens, customers, or colleagues, the challenge is the same: how do we shift everyday habits in a way that is practical, affordable, and long-lasting?

I have spent a lot of time during the last 20 years encouraging people to waste less food. And whilst household food waste in 2021/22 was 22% lower than in 2007, WRAP found that between 2018 and 2021/22, it was 4.3kg per person higher, a 6.5% increase. Recycling rates in England have flat-lined too, hovering around 44% to 45% for years.

Policies such as Simpler Recycling, alongside Extended Producer Responsibility for Packaging and the Deposit Return Scheme, are now tasked with driving us towards recycling 65% of municipal waste by 2035; but with our tendency to ‘campaign and explain’, are we still at risk of relying too heavily on communication to influence sustainable behaviours at scale?

Why communication by itself is not enough

It is a real issue for our sector. ‘Behaviour change’ is often used as shorthand for communication, but information, by itself, is rarely enough. Most people already know they should waste less food and recycle more. The problem is not always knowledge. More often, it is convenience, cost, habit, confusion, and a lack of motivation.

Providing information still matters, of course. But if we keep asking people to act differently without changing the conditions around them, we should not be surprised when progress is slow. The good news is that there are other ways to influence behaviour.

That is why the Behaviour Change Hierarchy is so useful. It helps us to think more clearly about the kind of intervention we are actually using.

At the top sits REMOVE: taking away the opportunity to do the wrong thing altogether. Below that are approaches such as NEUTRALITY, where the preferred behaviour does not cost more than the alternative, and EASE, where the desired behaviour is simpler to do than the wrong one. At the bottom is ASK, the approach we still use far too often because it is familiar, relatively cheap, and politically comfortable.

But if we’re being honest, asking people nicely has not delivered the results we need.

The strongest interventions are often the least glamorous. Sometimes the answer is not another leaflet, poster, or campaign. Sometimes it is better design. If the wrong behaviour is easier, cheaper, or more convenient, that is the behaviour people will likely choose. If we want different outcomes, we need to make the right action the default.

I experienced this at a conference where, despite recycling bins and clear signage, nobody seemed to know which container the compostable coffee cups should go in. In practice, the system had created confusion rather than clarity, and the result was contamination everywhere.

That problem could have been avoided entirely by using proper cups in the first place. In other words, the solution was not better sorting – it was removing the need to sort at all…

Education alone will not solve these problems, and neither will endless public campaigning. We do not have unlimited time, and we certainly do not have unlimited budgets! We need interventions that do more than ask people to change. We need interventions that make change happen.

Regulation absolutely has a role, but it needs to be designed with acceptability, practicality, and enforceability in mind. Likewise, with financial mechanisms that reprimand or reward, are you charging or incentivising those whose behaviour you want to change or placing the cost somewhere else in the system?

Behaviour is personal, complex, and deeply rooted in context. Whenever the desired action feels harder, more expensive, or less convenient, it will struggle to compete with the status quo.

If we are serious about reducing food waste and improving recycling, we need to be more ambitious about the way we design interventions. That means thinking beyond information and asking ourselves a more important question: what would it take for the right choice to be the obvious choice?

Sometimes that will mean removal. Sometimes neutrality. Sometimes ease. But it will always mean being honest that ‘asking’ by itself is not enough.

Our sector has spent years talking about behaviour change. Now we need to deliver.

Why should we take away the drum?

Why have I called this article Taking Away the Drum? This is how REMOVE is illustrated in the Behaviour Change Hierarchy – with thanks to lead author Stephen Bates.

“If a toddler is banging away on a toy drum, a parent might ask them to stop. When requests, demands, and threats still yield no response, the ultimate sanction is to take the drum away. The opportunity to behave contrary to the requirement has been removed,” he explains.

If you work in the Resources & Waste Sector, the chances are your role will involve trying to change how people behave.

In 2025, CIWM introduced a new training course to support its members tasked with encouraging pro-environmental behaviours and the delivery of a more resource-efficient society in line with CIWM’s strategic purpose.

Behaviour Change for the Resources and Waste Sector explores why behaviour can be difficult to influence, how to identify what might be needed to shift it, and introduces the strategies and tools that can be used – often in combination – to influence change.

Developed and tutored by myself, the overall aim is to give those working in the world of waste a better understanding of our behaviour and improve the efficacy of efforts to drive change and support the circular economy.

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More than 430 tonnes of food waste have been diverted from black bins during the first month of household food waste collections in Derby.

All local authorities in England were required to introduce weekly food waste collections from 31 March as part of the government’s Simpler Recycling reforms.

Derby City Council said the collected food waste is processed at Severn Trent Green Power in Spondon, where it is used to generate renewable energy.

Diverting waste to anaerobic digestion allows it to be transformed into biogas for green energy and nutrient-rich fertiliser, rather than being sent to landfill.

Councillor Ndukwe Onuoha , Cabinet Member for Streetpride, Parks and Leisure, said the start was ‘very encouraging’.

“Like many councils across the country, Derby has faced challenges linked to a nationwide shortage of specialist food waste collection vehicles, meaning temporary hired, non-specialist vehicles had to be used,” Onuoha said.

“Seeing such a significant amount of waste diverted so early on shows that these small changes at home are already making a real difference.”

According to a BBC News investigation, more than 70 councils in England were set to miss the government’s deadline to introduce weekly food waste collections to all households.

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With flexible plastic recycling still lagging across Europe and North America, Jean-Loup Masson, Circular Solutions Director, Alliance to End Plastic Waste, speaks to Circular Online about concrete actions that could finally move the needle.

The Alliance to End Plastic Waste’s report, ‘The Challenges and Solutions for Flexible Plastic Packaging Waste’, analysed actionable steps that could help to solve the flexible plastic waste challenge in Europe and North America.

The report identified segregated waste collection and advanced secondary sorting as essential to improving flexible film recycling and quality of recyclates.

It also found that Extended Producer Responsibility (EPR) and Post-Consumer Recycled (PCR) targets are critical for developing end markets and de-risking investment necessary for recycling infrastructure upgrades.

To understand more about the report’s recommendations, Circular Online spoke to Jean-Loup Masson, Circular Solutions Director at Alliance to End Plastic Waste.

Why is segregated waste collection essential for improving flexible plastic recycling?

Modern plastic film production requires very high-quality and consistent feedstock, which mechanically recycled outputs often fail to provide.

Segregated waste collection plays a critical role in helping to meet these requirements, reducing contamination by keeping different plastic types and grades separate at source, resulting in cleaner and more uniform material streams.

Advanced secondary sorting technologies, such as AI object recognition and digital watermarking, also have a crucial part to play in ensuring these quality requirements are met.

For post-household waste, the first stage of sorting typically occurs at a Materials Recovery Facility (MRF), but these are often overloaded and tend to prioritise higher-value materials rather than flexibles. Consequently, the granular sorting of flexibles which is required for mechanical recycling typically occurs as a secondary step at the recycler.

However, such technologies are expensive and difficult for individual recyclers to adopt. This points to the need for secondary sorting in dedicated Plastics Recovery Facilities (PRF) that can deploy these technologies at scale.

Why are EPR and PCR content targets crucial policy tools for improving flexible plastic recycling?

Without reliable, high value end markets for recycled film, there is little incentive to invest in the collection, sorting and recycling infrastructure needed to handle these materials.

PCR content targets help address this by creating clear, sustained demand for recycled material, giving recyclers greater confidence that their outputs will be absorbed by the market.

EPR systems help ensure waste management is efficiently delivered, adequately funded, and supported by the right technical expertise.

Additionally, they can help boost demand for recycled materials by rewarding recycled content use – through mechanisms like reduced EPR fees – and improving the competitiveness of recyclates versus virgin materials.

EPR and PCR targets, though essential, are not enough. Brands and consumers will prioritise safety, design, and performance when in doubt about quality. The quality and cost‑to‑quality of recyclates is therefore central to achieving true circularity in packaging.

For policies, such as EPR, will the cost always be passed onto the consumer?

The assumption that EPR costs are automatically passed on to consumers oversimplifies how these systems are designed to function.

EPR costs are primarily intended to finance system change and all costs are not meant to be passed onto the customer. Well-designed EPR schemes are intended to internalise the end-of-life costs of packaging and place stronger responsibility on producers, while also creating incentives to change behaviour.

By encouraging better packaging design, reduced material use, and investment in more efficient collection, sorting and recycling systems, EPR can help lower overall system costs over time. Many EPR frameworks also use eco modulation to reward materials and designs that are cheaper to manage, helping to offset initial investments.

The objective of EPR is therefore not simply to shift costs, but to build more efficient and financially sustainable waste management systems that reduce leakage, improve recycling outcomes and deliver better value across the system.

How does the design of flexible plastics need to change to increase recycling rates?

Reducing the complexity of flexible plastic packaging is critical to improving recycling outcomes. While packaging often has legitimate functional needs, unnecessary design complexity remains common and undermines recycling quality.

For example, reverse (laminated) printing embeds inks between polymer layers, making them difficult to remove during standard washing and de-inking. Simplifying material structures, including reducing multi-material combinations and barrier layers, can improve recyclability.

Design decisions should also reflect end-of-life pathways, with different recycling technologies needing different bale qualities. Mechanical recycling, for example, prefers single polymer, low ink streams, while pyrolysis accepts polyolefin blends and printed films if halides and oxygen contaminants (for example, PVC, PET) are limited.

Finally, harmonised design guidelines (for example, CEFLEX, APR, RecyClass) are essential to improve consistency, reduce complexity, and enable scalable recycling systems.

EN 18120, a series of standards providing harmonised criteria for packaging compatibility with collection, sorting, and recycling processes, should emerge as the technical backbone of design for recyclability in the EU, underpinning future PPWR linked recyclability requirements.

Why are advanced detection technologies so important to increasing flexible plastic recycling rates?

AI-based object recognition uses cameras and machine learning algorithms to classify packaging based on visual features like shape and colour. There is also digital watermarking, which works by embedding invisible codes into packaging during manufacturing.

These codes can then be later detected by specialised optical scanners on sorting lines. This makes it easier to accurately identify packaging and access product-level data, leading to more precise sorting and higher quality recyclate.

Scaling these technologies does require some enabling conditions. Upfront investment, interoperability across technology providers, and sufficient participation from brands and converters all matter to ensure enough packaging is ‘visible’ to the system.

With coordinated action across brands, converters, and technology providers, these conditions can be met and adoption can expand effectively.

Improving circularity in Europe and North America

The Alliance is developing a ‘Flexibles Thematic Program’ that aims to improve the circularity of flexible films in Europe and North America.

The Alliance’s Flexibles Program adopts a three-part approach aligned with the report’s findings:

1. Market mapping and system design that quantifies end-market opportunities and quality requirements.
2. Showcasing demonstration projects to build confidence in systems solutions with government, industry, and community stakeholders.
3. Enabling replicationby mobilising brands, recyclers, and governments to understand what it takes to create and proliferate effective systems solutions across geographies.

We spoke to Jean-Loup Masson to understand more about this three-part approach and how it could work practically.

What is market mapping and how would it work in practice?

Market mapping is about identifying end-market opportunities for recycled flexible plastics and the material quality needed to serve those applications.

We do so by first assessing which applications can absorb recyclates at scale, the waste streams that are available for feedstock, and the infrastructure and technologies needed to connect supply and demand.

These findings then shape practical action plans that connect waste sources to recycling technologies and buyers in ways that make sense from a technical and financial perspective.

This market-back approach is essential because it ensures that any investments made in collection, sorting, and recycling infrastructure match up with real demand from the outset.

Rather than building capacity and hoping buyers will emerge, we believe effective market mapping involves working backwards from what the market actually needs and can absorb.

Circularity cannot be driven by what technological innovation makes possible. Demand, regulation, and brand strategies must actively pull circular solutions into the market.

What are some examples of demonstration projects?

In collaboration with the European Brands Association (AIM), our HolyGrail 2.0 initiative demonstrated the technical viability and business benefit of digital watermarking. Trials carried out in late 2023 and early 2024 showed that digital watermarks can reliably identify and sort flexible plastics, even when materials are aged, baled or heavily contaminated.

Detection rates of 95% and sorting rates of 85% were achieved on the first pass. The technology is now being tested in real-world conditions in Belgium and Germany to prove it is ready for commercial deployment.

We also support Nextek’s COtooCLEAN project, which uses supercritical CO₂ purifying technology to remove embedded contaminants from post-consumer plastic films. The technology thoroughly decontaminates plastics, removing absorbed contaminants without dissolving the plastic.

This makes it well suited to producing high purity recyclates, with the potential to meet stringent food contact requirements. If successfully scaled, the technology could play a significant role in advancing the circularity of flexible films.

The Alliance supported the launch of a demonstration plant in Lincolnshire, UK, in April – a critical step in validating the technology and supporting its path to wider deployment.

What are the key market differences between North America and Europe? How can systems be replicated across geographies?

The challenges of building scalable circular systems vary significantly across different markets, and a tailored approach is needed. Progress in Europe, for example, is primarily being held back by an unfavourable cost‑quality ratio of recycled materials compared to virgin plastics.

Although the region generally has well‑established collection and recycling infrastructure, the recyclates produced often fail to meet the consistency and performance standards required by end‑use markets. Low virgin‑plastic prices further constrain market expansion for recycled material.

By contrast, the United States faces an infrastructure gap – a consequence of limited EPR regulations and the absence of proven, viable end‑markets, thereby slowing down investment. The limited availability of collection and sorting systems, particularly for flexible plastics, hampers the supply of feedstock necessary to scale recycling efforts.

Regardless of geography, circular systems can only be replicated if they are supported by a functional end-market. Efforts to replicate and scale solutions to plastic waste across different regions must be underpinned by market-driven strategies that ensure recyclate outputs meet end-market requirements before investments are made in infrastructure and technology.

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Over 50 businesses and trade associations, including IKEA and Virgin Media O2, are urging the UK Government to publish the long-delayed Circular Economy Growth Plan.

As part of the joint letter, the businesses said the plan would end uncertainty, provide ‘the confidence to invest’ and accelerate a circular economy transition across their operations.

The Circular Economy Growth Plan was originally expected to be published in October last year and has been held back for over six months.

Circular Online learned that the Department for the Environment, Food, and Rural Affairs (Defra) expected to publish the plan for consultation in early 2026. However, it has yet to be published, and there is no indication of when it could arrive.

The businesses have said they are worried the ongoing delay ‘will harm momentum towards a more resilient, resource efficient economy’.

The plan has been developed by the Circular Economy Taskforce, an independent advisory group comprising experts and leaders from various sectors.

The letter has been signed by businesses including IKEA and Virgin Media O2, as well as the Chartered Institution of Wastes Management (CIWM).

Rachel Solomon Williams, Executive Director at Aldersgate Group, a signatory of the letter, commented: “The continued delay to the Circular Economy Growth Plan is creating real uncertainty for business.”

“We need a clear, cross‑government, long‑term approach that provides policy certainty, supports resilience, and enables investment.”

“This is particularly important as the UK seeks to reset its relationship with the EU: policy divergence can cause substantial practical and economic challenges for business.”

The joint letter was sent to Emma Reynolds, Secretary of State for Defra, as well as the Department for Energy Security and Net Zero, Department for Transport, Treasury, and Ministry of Housing, Communities and Local Government.

Last week, a separate letter coordinated by The Restart Project and signed by Green Alliance, Back Market, and the CIWM also called on the Prime Minister to release the Circular Economy Growth Plan.

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Trewin Restorick, Founder of Sizzle Innovation, explores the behavioural challenges at the heart of UK recycling reform and how they can be overcome.

We all rely on routines to get through our daily lives. These habits are deeply ingrained and largely unquestioned. They operate on autopilot, freeing up mental capacity, allowing us to focus on more complex or unfamiliar decisions.

It is almost certain that some of these embedded habits relate to how we manage waste and recycling. We know when to put the bins out, and we instinctively separate materials without giving it much thought.

Changing these ingrained behaviours is notoriously difficult. It typically requires a significant disruption, such as moving home, having a child, changing jobs, or experiencing illness, before people reassess their routines.

This presents a clear challenge for the recycling sector. With the introduction of Simpler Recycling reforms and the forthcoming Deposit Return Scheme (DRS), there is a need to shift established behaviours at scale across the UK.

Research suggests that public support for DRS is strong and relatively stable, with low levels of opposition. Whilst willingness to use the scheme seems to be high, there is a drop off to around 50% when people are asked whether they are likely to use the scheme regularly.

Awareness is also significantly higher among environmentally engaged individuals and those over 55, but significantly lower among people under 35.

So how can the sector successfully influence daily routines to ensure the effectiveness of this new recycling infrastructure?

Academic research is clear: simple awareness-raising campaigns are rarely enough to disrupt established habits or embed new ones. Instead, a more sophisticated, multi-faceted approach is required, drawing on behavioural insights and practical interventions. These approaches often include the following elements:

Nudge

A key challenge is prompting people to reconsider behaviours that are automatic and largely unconscious. This can be achieved through timely prompts or ‘nudges’ at the point of action. Simple interventions such as stickers on bins encouraging people to pause and reconsider can be effective.

Retailers will also play a crucial role in reinforcing behaviours linked to DRS. Messaging at key touchpoints, such as store exits, car parks, or even printed on receipts and carrier bags, can serve as reminders to return containers.

There is also scope for more creative approaches. For example, visual cues like green footprints leading to DRS return points can make the desired behaviour both visible and intuitive.

Social norms

People are strongly influenced by what they perceive others around them to be doing. Establishing recycling behaviours as the ‘norm’ can significantly increase participation.

This can be achieved through messaging such as: ‘80% of shoppers at this store return their containers’. Social media, local press and in-store communications can reinforce the idea that returning containers is not just encouraged, it is expected.

Over time, this normalisation helps shift behaviour from being a conscious choice to an automatic habit.

Validation

Participation increases when people believe their actions have a meaningful impact. It is therefore essential to demonstrate clearly how individual contributions add up to wider environmental and economic benefits.

Storytelling can be particularly powerful here. Showing what happens to returned materials and how they are transformed into new products helps make the process tangible. Visual installations or real-time counters (for example ‘containers returned this week’) can further reinforce this sense of collective achievement.

At the same time, the sector must be prepared to respond quickly to negative media narratives. Stories highlighting system failures or inefficiencies can quickly erode public confidence if left unchallenged. Transparent communication and rapid rebuttal will be critical.

Hassle-free

Convenience will be one of the most important determinants of success. If new recycling behaviours are perceived as inconvenient, participation will quickly drop. Clear communication will be essential so that people quickly understand what is expected of them.

How the new DRS system fits with existing recycling collections could be an area of confusion and will require a consistent and easy-to-remember set of messaging to ensure it is embedded into people’s understanding.

The system must be designed to fit seamlessly into people’s existing routines. This includes ensuring that return points are easy to access, well-signposted and reliable. Equipment must function consistently, queues should be minimised, and processes should be quick and intuitive.

Where possible, the new system should feel no harder than existing behaviours. Friction is the enemy of habit formation; removing it is essential.

Reward

While environmental motivations are important, tangible incentives can significantly accelerate behaviour change. The financial reward offered through DRS provides a clear and immediate benefit, helping to reinforce the desired behaviour.

There is also an opportunity to broaden the concept of reward. Retailers could link returns to loyalty schemes, discounts, or charitable donations, allowing consumers to choose how they benefit. Non-financial rewards such as recognition, gamification, or community-based challenges can also help sustain engagement over time.

Ultimately, the goal is to move from extrinsic motivation (doing it for the reward) to intrinsic habit (doing it automatically without thinking).

Conclusion

Successfully delivering the next phase of UK recycling will depend not just on what is built, but on what people do every day. Infrastructure and policy can enable change, but only behaviour can deliver it.

Embedding new habits at scale will require sustained collaboration across government, retailers and the waste sector, combining behavioural insight with consistent, frictionless experiences.

Get this right, and new systems will feel effortless. Get it wrong, and even the best-designed schemes will struggle to succeed.

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