Prisons get ‘Minority Report' AI profiling to avert violence
Shabana Mahmood, the justice secretary, will on Thursday announce plans to give the prison service use of the artificial intelligence software.
The AI violence predictor analyses factors such as a prisoner's age and previous involvement in violent incidents while in custody. This will help prison officers assess threat levels on wings and enable them to intervene or move prisoners before violence escalates — or before it breaks out at all. It will also inform decisions to put dangerous prisoners under tighter supervision.
It has drawn comparisons with futuristic technology featured in the 2002 film with Tom Cruise in which a specialised police department named 'Precrime' apprehends criminals using foreknowledge provided by three psychics, or 'precogs', who can predict crime before it is committed.
Mahmood's AI plan also includes a tool that can digitally scan the contents of mobile phones seized from prisoners, rapidly flagging messages that may provide intelligence such as inmates' code words.
It will be deployed to enable staff to uncover potential for threats of violence to other inmates or prison officers as well as plans to escape or smuggle in weapons and other contraband.
The phones, often used for gang activity, drug trafficking and intimidation, are a major source of violence in prisons, which has soared to record levels.
The technology uses AI-driven language analysis and has been trialled across the prison estate, analysing more than 8.6 million messages from 33,000 seized phones.
The plan also sets out proposals for the creation of a single digital ID for all offenders. AI will help link records across courts, prisons and probation for the first time, linking records that previous search systems may never have connected because of minor typos or missing words. This could lead to more effective monitoring and sentencing.
Mahmood said: 'Artificial intelligence will transform the justice system. We are embracing its full potential as part of our Plan for Change.
'These tools are already fighting violence in prisons, tracking offenders and releasing our staff to focus on what they do best: cutting crime and making our streets safer.'
The plan represents the government's latest effort to regain control of prisons in England and Wales as violence and drug use spirals.
Being a prison guard has never been more dangerous — last year a record 10,605 assaults on staff were recorded, 15 per cent higher than the previous year and averaging 29 assaults on a prison officer every day.
Research by the Ministry of Justice this year found a direct link between violence behind bars and overcrowding. Prisons in England and Wales are at 99 per cent capacity and, in August last year, had only 80 spaces left. The study found that inmates of overcrowded jails were 20 per cent more likely to be involved in assaults.
Charlie Taylor, the chief inspector of prisons, warned in his annual report this month that jails were plagued with 'overwhelming' quantities of illicit drugs, mobile phones and other contraband.
He said drone technology posed a level of risk 'different from what we've seen in the past' and was now so sophisticated that packages of up to 10kg were being flown over prison gates. Inmates were routinely offered a 'menu of drugs'.
Taylor said there was also a 'theoretical possibility' that a drone could lift a prisoner out of jail in the near future.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Daily Mail
13 minutes ago
- Daily Mail
Moment drunken yobs spark emergency at 30,000 feet by refusing to stop vaping - forcing plane to turn back an hour into flight
Two drunken yobs caused a plane to return to the UK an hour into their flight as they refused to stop vaping in their seats. Police were called to Stansted Airport, where they waited for a Jet2 flight bound for Heraklion in Crete to return to London. Families were left extremely frustrated that the two men who were 'drunk as skunks' were allowed on board before take-off. Passengers said the pair started drinking alcohol after the scheduled 5.55am departure on Tuesday was delayed. Once the flight took off, pilots were forced to declare an emergency an hour into the flight and turn back to Stansted Airport. Footage shows the moment officers rushed onto the twin-jet Airbus A321 at 9.36am to cheers from passengers on he plane to detain the duo. One of the men was arrested after he was allegedly carrying cocaine and MDMA. Angry passengers let out their frustrations as one woman tells the men to 'get off!' while another shouts 'loser! before describing the pair as 'f****** b***ends!'. 'Do not get on a flight if you cannot control your drink!', another says before adding 'we love you police - thank you!'. However, one passenger was able to crack a joke as she quipped, 'nothing beats a Jet2 holiday' following the viral ad campaign starring pop star Jess Glynne. The duo, one of whom was wearing a back-to-front black baseball cap, ignored a cockpit announcement that warned that if they didn't stop vaping, the flight would have to return to the UK, one passenger revealed. The passenger said: 'On the flight the duo were so obnoxious. They began vaping, then kicked off when told to stop smoking. 'They couldn't understand or care just how dangerous it was for everyone on the plane. A source told The Sun: 'Passengers were livid. Everyone was looking forward to the start of the holiday.' They added: 'There were lots of kids on the plane and the airline should not allow these lunatics to spoil hard earned holidays.' The holidaymakers on the plane had to wait at Stansted Airport throughout the day for a service that evening that could take them on the four-hour journey to Greece. It is understood that Jet2 gave passengers a £10 voucher to be redeemed in WHSmith at Stansted. The airline has confirmed that a passenger has been handed a life ban as they described the behaviour as 'disgraceful' and 'aggressive'. A Jet2 spokesperson said: 'We can confirm that a customer has been issued with a lifetime ban following a catalogue of disgraceful and aggressive behaviour, which led to flight LS1577 from London Stansted to Crete Heraklion having to return to Stansted so that police could offload them. 'We would like to thank the police and our crew for their handling of this difficult situation. 'As a family friendly airline, we take a zero-tolerance approach to disruptive passenger behaviour and we will fully support the authorities with any subsequent investigation, including prosecutions and pursuing civil proceedings if necessary.' An Essex Police spokesman said: 'We were called at around 8.40am on Tuesday 5 August to reports of a disruptive passenger on board a flight bound for Greece. 'Officers were alerted to the flight's imminent return to Stansted Airport and detained two passengers for searches. 'A man, aged in his 20s, from High Wycombe, Buckinghamshire, was taken into custody after a quantity of suspected Class A drugs was found. 'He has since been released under investigation.' The second passenger was detained by officers for a stop and search but was not arrested.
Geeky Gadgets
14 minutes ago
- Geeky Gadgets
Elevenlabs Music Review : Create Studio-Grade Songs & Music Easily
What if creating music wasn't limited to the musically gifted or those with access to expensive studios? Imagine a tool that could take your ideas—no matter how unpolished—and transform them into high-quality songs with just a few clicks. Enter Elevenlabs, an AI-powered music generation platform that promises to transform how we approach music creation. With features like customizable lyrics, modular song editing, and exceptional audio quality, it's easy to see why this platform has captured the attention of creators and producers alike. But does it truly deliver on its bold ambitions, or is it another overhyped tech experiment? In this analysis, we'll explore whether Elevenlabs is a fantastic option or just another contender in the crowded world of AI music tools. In this review by MattVidPro, learn more about the platform's most impressive strengths, such as its ability to produce studio-grade audio and its innovative approach to song customization. At the same time, we'll address its shortcomings, including challenges with usability and creative flexibility, which may leave some users frustrated. By comparing Elevenlabs to competitors like Suno AI and Udio, we'll give you a clear picture of where it stands in the rapidly evolving landscape of AI music generation. Whether you're a seasoned producer or someone curious about the future of music technology, this exploration will help you decide if Elevenlabs is worth your time—and your investment. After all, the intersection of creativity and technology is rarely without its surprises. Elevenlabs AI Music Overview Platform Features and Functionality Elevenlabs' music generation tool is designed for users who want to create songs tailored to their unique preferences. The platform allows you to adjust song durations, experiment with various musical styles, and customize lyrics to suit your vision. A particularly noteworthy feature is its modular design, which enables you to edit and regenerate specific sections of a song, such as verses or choruses. This granular level of control is especially appealing for users who enjoy fine-tuning their compositions and exploring diverse creative possibilities. Eleven Music Demo Watch this video on YouTube. The platform also integrates a built-in lyric editor, allowing you to seamlessly combine text and music. This feature is aimed at enhancing the creative process by making it easier to align lyrical content with musical elements. However, while these tools are innovative, their execution leaves room for improvement, particularly in terms of user accessibility and intuitive design. Strengths and Advantages Elevenlabs excels in several areas, particularly in delivering high-quality audio output. The platform's AI model generates clear, coherent audio that rivals or even surpasses many of its competitors. Its strengths include: Exceptional audio quality that enhances the overall listening experience and sets a high standard for AI-generated music. that enhances the overall listening experience and sets a high standard for AI-generated music. A lyric editor that assists the integration of text and music, streamlining the creative process. that assists the integration of text and music, streamlining the creative process. Flexibility in song structure and style, encouraging users to experiment and push creative boundaries. For users who value innovation and high-quality sound in music production, these features make Elevenlabs a compelling option. Its modular approach to song editing also provides a level of creative freedom that is particularly attractive to experienced musicians and producers. Elevenlabs Music Review Watch this video on YouTube. Below are more guides on AI music generation from our extensive range of articles. Challenges and Limitations Despite its strengths, Elevenlabs faces several challenges that may impact your overall experience. One of the most significant issues is the platform's difficulty in generating engaging and creative lyrics. The outputs often feel generic, which can detract from the originality of your compositions. Additionally, the user interface presents several obstacles, including: Complexity in inputting custom lyrics and managing song sections, which can disrupt your workflow. and managing song sections, which can disrupt your workflow. Limited flexibility in adjusting song timing and structure , leading to potential mismatches between lyrics and music. , leading to potential mismatches between lyrics and music. Slower generation speeds compared to competitors, which may frustrate users who prioritize efficiency and quick turnarounds. These limitations can make the platform less appealing, particularly for beginners or users seeking a seamless and intuitive music creation process. Addressing these issues would significantly enhance the platform's usability and broaden its appeal. Comparison with Leading Competitors When compared to other platforms like Suno AI and Udio, Elevenlabs stands out for its audio quality but falls short in other critical areas. Here's how it measures up: Suno AI: Known for its user-friendly interface and greater creative flexibility, Suno AI is particularly well-suited for beginners and those seeking a straightforward music creation experience. Known for its user-friendly interface and greater creative flexibility, Suno AI is particularly well-suited for beginners and those seeking a straightforward music creation experience. Udio: Offers a more extensive range of tools for refining song structures and experimenting with different musical styles, making it a versatile choice for advanced users. While Elevenlabs has the potential to compete with these platforms, its current limitations in usability and customization make it less attractive for users who prioritize a smooth and efficient workflow. Pricing Structure and Accessibility Elevenlabs operates on a subscription-based pricing model, with tiers ranging from $22 per month for the Creator plan to $100 per month for the Pro plan. While these options cater to different levels of usage, the platform's high credit consumption for song generation can make it costly for users who require extensive use. This pricing structure may deter casual users or those new to AI music generation, as the costs may outweigh the benefits for less frequent usage. For potential users, it's essential to carefully evaluate whether the platform's strengths align with your specific needs and whether the pricing fits within your budget. The high-quality audio output may justify the cost for some, but others may find more value in exploring alternative platforms with lower barriers to entry. Recommendations for Different User Groups Elevenlabs is best suited for experienced users who prioritize high-quality audio output and are comfortable navigating a less polished interface. If you're willing to invest time and effort into overcoming its challenges, the platform can serve as a valuable tool for creative experimentation and music production. However, for beginners or those seeking a more intuitive experience, starting with alternatives like Suno AI or Udio may be a more practical choice. For users who are intrigued by the potential of AI-driven music creation but are hesitant to commit to a subscription, exploring free trials or lower-cost plans on competing platforms could provide a better introduction to the technology. This approach allows you to assess your needs and preferences before investing in a more advanced tool like Elevenlabs. Future Prospects and Areas for Improvement With targeted improvements, Elevenlabs has the potential to become a leading player in the AI music generation space. Enhancing its user interface to make it more intuitive and user-friendly would significantly improve accessibility. Additionally, refining its lyric generation capabilities to produce more engaging and creative outputs would address one of its most significant shortcomings. Expanding customization options for song timing and structure would also make the platform more versatile and appealing to a broader audience. By addressing these areas, Eleven Music could not only attract a wider range of users but also establish itself as a frontrunner in the rapidly evolving field of AI-driven music production. For now, it remains a platform with considerable potential, but one that requires substantial updates to fully meet user expectations. Media Credit: MattVidPro AI Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Geeky Gadgets
14 minutes ago
- Geeky Gadgets
How Context Engineering Can Make Any AI 100x Smarter
What if the AI tools you rely on could become not just smarter, but exponentially more effective? Imagine an AI assistant that doesn't just follow instructions but intuitively understands your needs, pulling in the right data at the right time to deliver results that feel almost human. Bold claim? Perhaps. But the secret lies in a innovative approach called context engineering—a method that goes beyond traditional prompt engineering to create dynamic, context-rich environments where AI thrives. This isn't just a tweak; it's a paradigm shift that can make any AI system 100x more useful in your daily workflows. Rick Mulready explores how context engineering transforms AI from a tool that merely responds to commands into a proactive, personalized assistant. You'll discover how integrating dynamic data sources, APIs, and real-time feedback can elevate your AI's performance, whether it's crafting tailored customer emails, analyzing complex datasets, or automating tedious tasks. More than just a technical guide, this is your roadmap to unlocking the full potential of artificial intelligence—one that promises not just efficiency but genuine innovation. The possibilities are vast, and the key to unlocking them might be simpler than you think. Understanding Context Engineering What is Context Engineering? Context engineering involves creating workflows that provide AI systems with the right information at the right time. Unlike prompt engineering, which focuses on crafting specific instructions, context engineering integrates dynamic data sources, APIs, and knowledge bases into the AI's operational framework. This ensures that the AI can access and process relevant information, resulting in outputs that are more accurate, personalized, and actionable. For instance, consider an AI tasked with drafting customer emails. By integrating data from a CRM tool like HubSpot, the AI can access details about past interactions, customer preferences, and pain points. This dynamic approach enables the AI to produce tailored responses that go beyond generic templates, improving customer engagement and satisfaction. How Context Engineering Differs from Prompt Engineering While prompt engineering focuses on crafting precise instructions for an AI model, context engineering takes a broader and more holistic approach. It establishes an ecosystem where the AI operates, making sure that all necessary data and tools are readily available. Prompt engineering remains an essential component within this framework, as well-crafted prompts guide the AI within the context you establish. For example, if you're using an AI tool like MindPal to summarize reports, prompt engineering might involve asking the AI to 'summarize the key points of this document.' Context engineering, however, ensures the AI has access to related documents, historical data, and user preferences. This enables the AI to produce summaries that are not only concise but also nuanced and comprehensive, reflecting a deeper understanding of the task. How Context Engineering Transforms AI into Smarter Assistants Watch this video on YouTube. Learn more about Context Engineering with the help of our in-depth articles and helpful guides. Applications in Business Workflows Context engineering offers practical benefits across a wide range of business processes. By integrating AI with tools such as Google Sheets, Airtable, or N8N, you can automate workflows, enhance decision-making, and improve overall productivity. Here are some key applications: Customer Relationship Management (CRM): AI can analyze CRM data to craft personalized marketing campaigns, customer support responses, or sales strategies. AI can analyze CRM data to craft personalized marketing campaigns, customer support responses, or sales strategies. Data Analysis: By connecting to dynamic data sources like spreadsheets or databases, AI can provide real-time insights, trend analyses, and actionable recommendations. By connecting to dynamic data sources like spreadsheets or databases, AI can provide real-time insights, trend analyses, and actionable recommendations. Content Creation: AI tools can generate tailored content by accessing relevant knowledge bases, user feedback, and contextual data. For example, using you can create workflows where AI agents automatically update Google Docs with real-time data from Airtable or other sources. This streamlines collaboration, reduces manual effort, and ensures that team members always have access to the most up-to-date information. Balancing Context for Optimal Results Providing the right amount of context is critical for achieving optimal AI performance. Too much context can overwhelm the AI, increasing processing costs and leading to irrelevant or redundant outputs. Conversely, insufficient context results in generic and less effective responses. The REAL framework—Relevant, Efficient, Accessible, Logical—offers a practical guideline for striking the right balance: Relevant: Include only information directly related to the task at hand to avoid unnecessary complexity. Include only information directly related to the task at hand to avoid unnecessary complexity. Efficient: Ensure the context is concise and easy for the AI to process without overloading its capabilities. Ensure the context is concise and easy for the AI to process without overloading its capabilities. Accessible: Make data readily available through APIs, integrations, or structured workflows. Make data readily available through APIs, integrations, or structured workflows. Logical: Structure the context in a way that aligns with the AI's processing logic, making sure clarity and coherence. By adhering to these principles, you can ensure that your AI systems deliver precise, actionable, and meaningful results, regardless of the complexity of the task. Advanced Concepts in Context Engineering As workflows and business needs evolve, the context provided to AI systems must also adapt. This concept, known as context evolution, ensures that AI systems become smarter and more specific with each iteration. Learning systems play a pivotal role in this process, incorporating feedback to refine the context over time. For example, an AI feedback loop can analyze errors or inefficiencies in its outputs and adjust the context accordingly. This iterative process not only minimizes issues such as hallucinations or inaccuracies but also enhances the overall relevance and accuracy of the AI's outputs. Over time, this continuous refinement allows the AI to align more closely with your specific goals and requirements. Limitations of Context Engineering Despite its many advantages, context engineering is not without limitations. Issues such as hallucinations or factual inaccuracies can still occur, particularly if the underlying data is flawed or incomplete. Additionally, well-crafted prompts remain essential for guiding the AI within the context you provide. For instance, even with advanced tools like N8N or MindPal, ambiguous or poorly defined instructions can lead to misinterpretation. This highlights the importance of combining strong prompt engineering with robust context engineering to achieve reliable and effective results. A balanced approach ensures that the AI operates within a well-defined framework while maintaining the flexibility to adapt to dynamic inputs. Practical Tools for Context Engineering Several tools can help you implement context engineering effectively in your workflows. These include: Automates workflows by connecting AI systems to various apps and data sources, allowing seamless data integration. Automates workflows by connecting AI systems to various apps and data sources, allowing seamless data integration. MindPal: Enhances AI personalization by integrating dynamic knowledge bases and user-specific data. Enhances AI personalization by integrating dynamic knowledge bases and user-specific data. N8N: Assists workflow automation with customizable integrations, allowing for tailored solutions. Assists workflow automation with customizable integrations, allowing for tailored solutions. HubSpot: Provides CRM data for personalized customer interactions and marketing strategies. Provides CRM data for personalized customer interactions and marketing strategies. Airtable: Serves as a dynamic database for real-time AI updates and collaborative data management. Serves as a dynamic database for real-time AI updates and collaborative data management. Google Docs: Enables collaborative content creation with AI-generated inputs, streamlining team workflows. By using these tools, you can build a robust context engineering framework that enhances the capabilities of your AI systems, making sure they deliver high-quality, actionable outputs. Why Context Engineering Matters Incorporating context engineering into your AI workflows is essential for unlocking the full potential of artificial intelligence. By providing dynamic, relevant, and efficient context, you can improve the quality, personalization, and reliability of AI outputs. This approach not only enhances productivity but also gives your business a competitive edge in an increasingly AI-driven world. Whether you're automating routine tasks, analyzing complex data, or crafting personalized customer experiences, context engineering ensures that your AI tools deliver meaningful and impactful results. By adopting the right strategies and tools, you can transform your workflows and fully harness the power of artificial intelligence to drive innovation and success. Media Credit: Rick Mulready Filed Under: AI, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
