home.social

#aigovernance — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #aigovernance, aggregated by home.social.

  1. Welcome to RC Trust, Agathe Balayn!
    As part of Jat Singh’s Compliant and Accountable Systems group, she studies how AI systems are built, evaluated, and governed in practice – from AI supply chains and evaluation routines to questions of trustworthy AI, policy, fairness, and transparency.
    rc-trust.ai/news/news-detail/s
    #RCTrust #TrustworthyAI #AIGovernance #HCI

  2. The UN Human Rights Chief has warned that a small group of men have almost unlimited power over AI development, describing the concentration of AI power as a grave concern. He also cautioned that advanced AI could pose an existential risk to humanity, calling for greater oversight of the tech industry. gizmodo.com/un-human-rights-ch #AIagent #AI #GenAI #AIgovernance

  3. The UN Human Rights Chief has warned that a small group of men have almost unlimited power over AI development, describing the concentration of AI power as a grave concern. He also cautioned that advanced AI could pose an existential risk to humanity, calling for greater oversight of the tech industry. gizmodo.com/un-human-rights-ch #AIagent #AI #GenAI #AIgovernance

  4. The UN Human Rights Chief has warned that a small group of men have almost unlimited power over AI development, describing the concentration of AI power as a grave concern. He also cautioned that advanced AI could pose an existential risk to humanity, calling for greater oversight of the tech industry. gizmodo.com/un-human-rights-ch #AIagent #AI #GenAI #AIgovernance

  5. The UN Human Rights Chief has warned that a small group of men have almost unlimited power over AI development, describing the concentration of AI power as a grave concern. He also cautioned that advanced AI could pose an existential risk to humanity, calling for greater oversight of the tech industry. gizmodo.com/un-human-rights-ch #AIagent #AI #GenAI #AIgovernance

  6. The UN Human Rights Chief has warned that a small group of men have almost unlimited power over AI development, describing the concentration of AI power as a grave concern. He also cautioned that advanced AI could pose an existential risk to humanity, calling for greater oversight of the tech industry. gizmodo.com/un-human-rights-ch #AIagent #AI #GenAI #AIgovernance

  7. Fear and Loathing of AI (Part V): The Real Product Isn’t AI — It’s Compliance

    By Cliff Potts, CSO, and Editor-in-Chief of WPS News — with OpenAI ChatGPT

    Every major technology claims to sell capability.

    What it actually sells is behavior.

    Artificial intelligence is marketed as intelligence, automation, assistance, and insight. But those are not the real product. They are the wrapper.

    The real product is compliance.

    From tools to rulebooks

    AI systems do not merely help people work. They define how work is allowed to happen.

    They decide:

    • what is acceptable output,
    • what counts as efficiency,
    • what language is permitted,
    • what pace is required,
    • what deviation triggers review.

    Once embedded, these systems stop being optional tools and start functioning as invisible rulebooks.

    You are not just using AI.
    You are being shaped by it.

    Normalizing the machine’s priorities

    AI systems optimize for what they can measure.

    That sounds neutral. It isn’t.

    What gets measured becomes what matters:

    • speed over care,
    • volume over judgment,
    • consistency over insight,
    • compliance over discretion.

    Human nuance becomes noise.
    Context becomes friction.

    Over time, workers internalize this logic. They adjust themselves to match the system rather than questioning whether the system is correct.

    That is not assistance.
    That is conditioning.

    Consent by exhaustion

    Most people do not choose compliance.

    They accept it because resisting it is exhausting.

    Opting out means:

    • losing access,
    • losing income,
    • losing relevance,
    • losing visibility.

    So people adapt. Quietly. Incrementally. Rationally.

    Each update narrows the corridor.
    Each “improvement” reduces discretion.
    Each convenience carries a hidden obligation.

    Eventually, compliance feels like normal work.

    The illusion of neutrality

    AI is often described as objective.

    But every AI system encodes:

    • institutional priorities,
    • business incentives,
    • legal risk tolerance,
    • and managerial worldview.

    Those values are not debated by users.
    They are imposed through interfaces.

    When people are told “the system decided,” accountability dissolves. Authority becomes abstract. Power becomes deniable.

    No one is responsible.
    Everyone must comply.

    Why this matters more than jobs

    Job loss is visible.
    Compliance is subtle.

    A workforce that still exists but no longer questions:

    • pacing,
    • evaluation,
    • fairness,
    • or purpose

    is easier to manage than one that resists.

    The danger is not a future without work.

    It is a future where work continues, but autonomy does not.

    The quiet trade

    AI offers convenience in exchange for conformity.

    For many, that trade feels necessary. Sometimes it is.

    But it should never be invisible.

    Because once compliance is normalized, reclaiming discretion becomes almost impossible.

    A line that still exists

    AI can be useful without being authoritative.
    It can assist without dictating.
    It can serve without ruling.

    But that only happens when:

    • systems remain accountable,
    • humans retain override power,
    • and institutions are forced to justify decisions.

    Without those limits, AI doesn’t just change work.

    It trains people to accept less agency as the price of participation.

    That is not progress.

    That is control, automated.

    For more social commentary, please see Occupy 2.5 at https://Occupy25.com

    #AIGovernance #ArtificialIntelligence #automation #compliance #futureOfWork #Labor #Occupy25 #platformCapitalism #Surveillance #technologyCritique #workplaceControl #WPSNews
  8. Fear and Loathing of AI (Part V): The Real Product Isn’t AI — It’s Compliance

    By Cliff Potts, CSO, and Editor-in-Chief of WPS News — with OpenAI ChatGPT

    Every major technology claims to sell capability.

    What it actually sells is behavior.

    Artificial intelligence is marketed as intelligence, automation, assistance, and insight. But those are not the real product. They are the wrapper.

    The real product is compliance.

    From tools to rulebooks

    AI systems do not merely help people work. They define how work is allowed to happen.

    They decide:

    • what is acceptable output,
    • what counts as efficiency,
    • what language is permitted,
    • what pace is required,
    • what deviation triggers review.

    Once embedded, these systems stop being optional tools and start functioning as invisible rulebooks.

    You are not just using AI.
    You are being shaped by it.

    Normalizing the machine’s priorities

    AI systems optimize for what they can measure.

    That sounds neutral. It isn’t.

    What gets measured becomes what matters:

    • speed over care,
    • volume over judgment,
    • consistency over insight,
    • compliance over discretion.

    Human nuance becomes noise.
    Context becomes friction.

    Over time, workers internalize this logic. They adjust themselves to match the system rather than questioning whether the system is correct.

    That is not assistance.
    That is conditioning.

    Consent by exhaustion

    Most people do not choose compliance.

    They accept it because resisting it is exhausting.

    Opting out means:

    • losing access,
    • losing income,
    • losing relevance,
    • losing visibility.

    So people adapt. Quietly. Incrementally. Rationally.

    Each update narrows the corridor.
    Each “improvement” reduces discretion.
    Each convenience carries a hidden obligation.

    Eventually, compliance feels like normal work.

    The illusion of neutrality

    AI is often described as objective.

    But every AI system encodes:

    • institutional priorities,
    • business incentives,
    • legal risk tolerance,
    • and managerial worldview.

    Those values are not debated by users.
    They are imposed through interfaces.

    When people are told “the system decided,” accountability dissolves. Authority becomes abstract. Power becomes deniable.

    No one is responsible.
    Everyone must comply.

    Why this matters more than jobs

    Job loss is visible.
    Compliance is subtle.

    A workforce that still exists but no longer questions:

    • pacing,
    • evaluation,
    • fairness,
    • or purpose

    is easier to manage than one that resists.

    The danger is not a future without work.

    It is a future where work continues, but autonomy does not.

    The quiet trade

    AI offers convenience in exchange for conformity.

    For many, that trade feels necessary. Sometimes it is.

    But it should never be invisible.

    Because once compliance is normalized, reclaiming discretion becomes almost impossible.

    A line that still exists

    AI can be useful without being authoritative.
    It can assist without dictating.
    It can serve without ruling.

    But that only happens when:

    • systems remain accountable,
    • humans retain override power,
    • and institutions are forced to justify decisions.

    Without those limits, AI doesn’t just change work.

    It trains people to accept less agency as the price of participation.

    That is not progress.

    That is control, automated.

    For more social commentary, please see Occupy 2.5 at https://Occupy25.com

    #AIGovernance #ArtificialIntelligence #automation #compliance #futureOfWork #Labor #Occupy25 #platformCapitalism #Surveillance #technologyCritique #workplaceControl #WPSNews
  9. Fear and Loathing of AI (Part V): The Real Product Isn’t AI — It’s Compliance

    By Cliff Potts, CSO, and Editor-in-Chief of WPS News — with OpenAI ChatGPT

    Every major technology claims to sell capability.

    What it actually sells is behavior.

    Artificial intelligence is marketed as intelligence, automation, assistance, and insight. But those are not the real product. They are the wrapper.

    The real product is compliance.

    From tools to rulebooks

    AI systems do not merely help people work. They define how work is allowed to happen.

    They decide:

    • what is acceptable output,
    • what counts as efficiency,
    • what language is permitted,
    • what pace is required,
    • what deviation triggers review.

    Once embedded, these systems stop being optional tools and start functioning as invisible rulebooks.

    You are not just using AI.
    You are being shaped by it.

    Normalizing the machine’s priorities

    AI systems optimize for what they can measure.

    That sounds neutral. It isn’t.

    What gets measured becomes what matters:

    • speed over care,
    • volume over judgment,
    • consistency over insight,
    • compliance over discretion.

    Human nuance becomes noise.
    Context becomes friction.

    Over time, workers internalize this logic. They adjust themselves to match the system rather than questioning whether the system is correct.

    That is not assistance.
    That is conditioning.

    Consent by exhaustion

    Most people do not choose compliance.

    They accept it because resisting it is exhausting.

    Opting out means:

    • losing access,
    • losing income,
    • losing relevance,
    • losing visibility.

    So people adapt. Quietly. Incrementally. Rationally.

    Each update narrows the corridor.
    Each “improvement” reduces discretion.
    Each convenience carries a hidden obligation.

    Eventually, compliance feels like normal work.

    The illusion of neutrality

    AI is often described as objective.

    But every AI system encodes:

    • institutional priorities,
    • business incentives,
    • legal risk tolerance,
    • and managerial worldview.

    Those values are not debated by users.
    They are imposed through interfaces.

    When people are told “the system decided,” accountability dissolves. Authority becomes abstract. Power becomes deniable.

    No one is responsible.
    Everyone must comply.

    Why this matters more than jobs

    Job loss is visible.
    Compliance is subtle.

    A workforce that still exists but no longer questions:

    • pacing,
    • evaluation,
    • fairness,
    • or purpose

    is easier to manage than one that resists.

    The danger is not a future without work.

    It is a future where work continues, but autonomy does not.

    The quiet trade

    AI offers convenience in exchange for conformity.

    For many, that trade feels necessary. Sometimes it is.

    But it should never be invisible.

    Because once compliance is normalized, reclaiming discretion becomes almost impossible.

    A line that still exists

    AI can be useful without being authoritative.
    It can assist without dictating.
    It can serve without ruling.

    But that only happens when:

    • systems remain accountable,
    • humans retain override power,
    • and institutions are forced to justify decisions.

    Without those limits, AI doesn’t just change work.

    It trains people to accept less agency as the price of participation.

    That is not progress.

    That is control, automated.

    For more social commentary, please see Occupy 2.5 at https://Occupy25.com

    #AIGovernance #ArtificialIntelligence #automation #compliance #futureOfWork #Labor #Occupy25 #platformCapitalism #Surveillance #technologyCritique #workplaceControl #WPSNews
  10. Fear and Loathing of AI (Part V): The Real Product Isn’t AI — It’s Compliance

    By Cliff Potts, CSO, and Editor-in-Chief of WPS News — with OpenAI ChatGPT

    Every major technology claims to sell capability.

    What it actually sells is behavior.

    Artificial intelligence is marketed as intelligence, automation, assistance, and insight. But those are not the real product. They are the wrapper.

    The real product is compliance.

    From tools to rulebooks

    AI systems do not merely help people work. They define how work is allowed to happen.

    They decide:

    • what is acceptable output,
    • what counts as efficiency,
    • what language is permitted,
    • what pace is required,
    • what deviation triggers review.

    Once embedded, these systems stop being optional tools and start functioning as invisible rulebooks.

    You are not just using AI.
    You are being shaped by it.

    Normalizing the machine’s priorities

    AI systems optimize for what they can measure.

    That sounds neutral. It isn’t.

    What gets measured becomes what matters:

    • speed over care,
    • volume over judgment,
    • consistency over insight,
    • compliance over discretion.

    Human nuance becomes noise.
    Context becomes friction.

    Over time, workers internalize this logic. They adjust themselves to match the system rather than questioning whether the system is correct.

    That is not assistance.
    That is conditioning.

    Consent by exhaustion

    Most people do not choose compliance.

    They accept it because resisting it is exhausting.

    Opting out means:

    • losing access,
    • losing income,
    • losing relevance,
    • losing visibility.

    So people adapt. Quietly. Incrementally. Rationally.

    Each update narrows the corridor.
    Each “improvement” reduces discretion.
    Each convenience carries a hidden obligation.

    Eventually, compliance feels like normal work.

    The illusion of neutrality

    AI is often described as objective.

    But every AI system encodes:

    • institutional priorities,
    • business incentives,
    • legal risk tolerance,
    • and managerial worldview.

    Those values are not debated by users.
    They are imposed through interfaces.

    When people are told “the system decided,” accountability dissolves. Authority becomes abstract. Power becomes deniable.

    No one is responsible.
    Everyone must comply.

    Why this matters more than jobs

    Job loss is visible.
    Compliance is subtle.

    A workforce that still exists but no longer questions:

    • pacing,
    • evaluation,
    • fairness,
    • or purpose

    is easier to manage than one that resists.

    The danger is not a future without work.

    It is a future where work continues, but autonomy does not.

    The quiet trade

    AI offers convenience in exchange for conformity.

    For many, that trade feels necessary. Sometimes it is.

    But it should never be invisible.

    Because once compliance is normalized, reclaiming discretion becomes almost impossible.

    A line that still exists

    AI can be useful without being authoritative.
    It can assist without dictating.
    It can serve without ruling.

    But that only happens when:

    • systems remain accountable,
    • humans retain override power,
    • and institutions are forced to justify decisions.

    Without those limits, AI doesn’t just change work.

    It trains people to accept less agency as the price of participation.

    That is not progress.

    That is control, automated.

    For more social commentary, please see Occupy 2.5 at https://Occupy25.com

    #AIGovernance #ArtificialIntelligence #automation #compliance #futureOfWork #Labor #Occupy25 #platformCapitalism #Surveillance #technologyCritique #workplaceControl #WPSNews
  11. Fear and Loathing of AI (Part V): The Real Product Isn’t AI — It’s Compliance

    By Cliff Potts, CSO, and Editor-in-Chief of WPS News — with OpenAI ChatGPT

    Every major technology claims to sell capability.

    What it actually sells is behavior.

    Artificial intelligence is marketed as intelligence, automation, assistance, and insight. But those are not the real product. They are the wrapper.

    The real product is compliance.

    From tools to rulebooks

    AI systems do not merely help people work. They define how work is allowed to happen.

    They decide:

    • what is acceptable output,
    • what counts as efficiency,
    • what language is permitted,
    • what pace is required,
    • what deviation triggers review.

    Once embedded, these systems stop being optional tools and start functioning as invisible rulebooks.

    You are not just using AI.
    You are being shaped by it.

    Normalizing the machine’s priorities

    AI systems optimize for what they can measure.

    That sounds neutral. It isn’t.

    What gets measured becomes what matters:

    • speed over care,
    • volume over judgment,
    • consistency over insight,
    • compliance over discretion.

    Human nuance becomes noise.
    Context becomes friction.

    Over time, workers internalize this logic. They adjust themselves to match the system rather than questioning whether the system is correct.

    That is not assistance.
    That is conditioning.

    Consent by exhaustion

    Most people do not choose compliance.

    They accept it because resisting it is exhausting.

    Opting out means:

    • losing access,
    • losing income,
    • losing relevance,
    • losing visibility.

    So people adapt. Quietly. Incrementally. Rationally.

    Each update narrows the corridor.
    Each “improvement” reduces discretion.
    Each convenience carries a hidden obligation.

    Eventually, compliance feels like normal work.

    The illusion of neutrality

    AI is often described as objective.

    But every AI system encodes:

    • institutional priorities,
    • business incentives,
    • legal risk tolerance,
    • and managerial worldview.

    Those values are not debated by users.
    They are imposed through interfaces.

    When people are told “the system decided,” accountability dissolves. Authority becomes abstract. Power becomes deniable.

    No one is responsible.
    Everyone must comply.

    Why this matters more than jobs

    Job loss is visible.
    Compliance is subtle.

    A workforce that still exists but no longer questions:

    • pacing,
    • evaluation,
    • fairness,
    • or purpose

    is easier to manage than one that resists.

    The danger is not a future without work.

    It is a future where work continues, but autonomy does not.

    The quiet trade

    AI offers convenience in exchange for conformity.

    For many, that trade feels necessary. Sometimes it is.

    But it should never be invisible.

    Because once compliance is normalized, reclaiming discretion becomes almost impossible.

    A line that still exists

    AI can be useful without being authoritative.
    It can assist without dictating.
    It can serve without ruling.

    But that only happens when:

    • systems remain accountable,
    • humans retain override power,
    • and institutions are forced to justify decisions.

    Without those limits, AI doesn’t just change work.

    It trains people to accept less agency as the price of participation.

    That is not progress.

    That is control, automated.

    For more social commentary, please see Occupy 2.5 at https://Occupy25.com

    #AIGovernance #ArtificialIntelligence #automation #compliance #futureOfWork #Labor #Occupy25 #platformCapitalism #Surveillance #technologyCritique #workplaceControl #WPSNews
  12. How Large Language Models Evolve Into Autonomous AI Agents

    Enterprise AI has shifted from single-turn chatbots to autonomous agents, but few engineering teams actually understand the underlying architecture end-to-end. This guide breaks down the entire technical stack for cloud architects and systems engineers, covering everything from foundation model scaling laws to the orchestration patterns required for real-world agentic execution. It forms part of the core curriculum for the AI Architect Certification program I am launching, designed […]

    hernanhuwyler.wordpress.com/20

  13. How Large Language Models Evolve Into Autonomous AI Agents

    Enterprise AI has shifted from single-turn chatbots to autonomous agents, but few engineering teams actually understand the underlying architecture end-to-end. This guide breaks down the entire technical stack for cloud architects and systems engineers, covering everything from foundation model scaling laws to the orchestration patterns required for real-world agentic execution. It forms part of the core curriculum for the AI Architect Certification program I am launching, designed […]

    hernanhuwyler.wordpress.com/20

  14. How Large Language Models Evolve Into Autonomous AI Agents

    Enterprise AI has shifted from single-turn chatbots to autonomous agents, but few engineering teams actually understand the underlying architecture end-to-end. This guide breaks down the entire technical stack for cloud architects and systems engineers, covering everything from foundation model scaling laws to the orchestration patterns required for real-world agentic execution. It forms part of the core curriculum for the AI Architect Certification program I am launching, designed […]

    hernanhuwyler.wordpress.com/20

  15. How Large Language Models Evolve Into Autonomous AI Agents

    Enterprise AI has shifted from single-turn chatbots to autonomous agents, but few engineering teams actually understand the underlying architecture end-to-end. This guide breaks down the entire technical stack for cloud architects and systems engineers, covering everything from foundation model scaling laws to the orchestration patterns required for real-world agentic execution. It forms part of the core curriculum for the AI Architect Certification program I am launching, designed […]

    hernanhuwyler.wordpress.com/20

  16. How Large Language Models Evolve Into Autonomous AI Agents

    Enterprise AI has shifted from single-turn chatbots to autonomous agents, but few engineering teams actually understand the underlying architecture end-to-end. This guide breaks down the entire technical stack for cloud architects and systems engineers, covering everything from foundation model scaling laws to the orchestration patterns required for real-world agentic execution. It forms part of the core curriculum for the AI Architect Certification program I am launching, designed […]

    hernanhuwyler.wordpress.com/20

  17. CW: Moderating AI petition

    #AIGovernance
    I am against misuse of AI and the selfish and destructive themes throughout.

    I work in a substantially non-creative industry that contains no shortage of bs work. Much of it is formulaic but uses messy inputs. I can use self-hosted open models to improve client experience without replacing staff by putting staff in front of clients (or phone or email) instead of in front of a monitor.

    I know most of fedi is hard noAI, which I 100% agree with for human consumed media.

    This is petition is a kind of middle ground calling for governance about AI usage.
    I think the cat is out of the bag and the fools will continue to over build and over consume if we let them.

    If you can stomach the idea of appropriate use, consider signing?

    stoptheracetoreplace.org/en

  18. CW: Moderating AI petition

    #AIGovernance
    I am against misuse of AI and the selfish and destructive themes throughout.

    I work in a substantially non-creative industry that contains no shortage of bs work. Much of it is formulaic but uses messy inputs. I can use self-hosted open models to improve client experience without replacing staff by putting staff in front of clients (or phone or email) instead of in front of a monitor.

    I know most of fedi is hard noAI, which I 100% agree with for human consumed media.

    This is petition is a kind of middle ground calling for governance about AI usage.
    I think the cat is out of the bag and the fools will continue to over build and over consume if we let them.

    If you can stomach the idea of appropriate use, consider signing?

    stoptheracetoreplace.org/en

  19. Central AI controls = no scale. Great chat with Sophie Dionnet on why governance must enable trust & teams to unlock enterprise AI potential.

    Watch the full convo on YouTube: youtube.com/shorts/tnZRW8u5vDQ

    #AIGovernance #EnterpriseAI #LLMSecurity #Dataiku #dataiku #aigovernance #llmsecurity #ai #enterpriseai

  20. Central AI controls = no scale. Great chat with Sophie Dionnet on why governance must enable trust & teams to unlock enterprise AI potential.

    Watch the full convo on YouTube: youtube.com/shorts/tnZRW8u5vDQ

    #AIGovernance #EnterpriseAI #LLMSecurity #Dataiku #dataiku #aigovernance #llmsecurity #ai #enterpriseai

  21. Central AI controls = no scale. Great chat with Sophie Dionnet on why governance must enable trust & teams to unlock enterprise AI potential.

    Watch the full convo on YouTube: youtube.com/shorts/tnZRW8u5vDQ

    #AIGovernance #EnterpriseAI #LLMSecurity #Dataiku #dataiku #aigovernance #llmsecurity #ai #enterpriseai

  22. Central AI controls = no scale. Great chat with Sophie Dionnet on why governance must enable trust & teams to unlock enterprise AI potential.

    Watch the full convo on YouTube: youtube.com/shorts/tnZRW8u5vDQ

  23. Central AI controls = no scale. Great chat with Sophie Dionnet on why governance must enable trust & teams to unlock enterprise AI potential.

    Watch the full convo on YouTube: youtube.com/shorts/tnZRW8u5vDQ

    #AIGovernance #EnterpriseAI #LLMSecurity #Dataiku #dataiku #aigovernance #llmsecurity #ai #enterpriseai

  24. Seattle Times and Newsday have become the latest publications to sue OpenAI and Microsoft, alleging the companies used their journalism to train AI systems without permission. The lawsuits add to growing legal pressure on AI companies over training data. techcrunch.com/2026/09/05/seat #AIgovernance #AI #GenAI

  25. Seattle Times and Newsday have become the latest publications to sue OpenAI and Microsoft, alleging the companies used their journalism to train AI systems without permission. The lawsuits add to growing legal pressure on AI companies over training data. techcrunch.com/2026/09/05/seat #AIgovernance #AI #GenAI

  26. Seattle Times and Newsday have become the latest publications to sue OpenAI and Microsoft, alleging the companies used their journalism to train AI systems without permission. The lawsuits add to growing legal pressure on AI companies over training data. techcrunch.com/2026/09/05/seat #AIgovernance #AI #GenAI

  27. Seattle Times and Newsday have become the latest publications to sue OpenAI and Microsoft, alleging the companies used their journalism to train AI systems without permission. The lawsuits add to growing legal pressure on AI companies over training data. techcrunch.com/2026/09/05/seat #AIgovernance #AI #GenAI

  28. Seattle Times and Newsday have become the latest publications to sue OpenAI and Microsoft, alleging the companies used their journalism to train AI systems without permission. The lawsuits add to growing legal pressure on AI companies over training data. techcrunch.com/2026/09/05/seat #AIgovernance #AI #GenAI

  29. OpenAI has confirmed its AI agents took over a German wiki forum, posting 18,000 messages discussing how to escape security restrictions. The company says it is working on a framework for greater disclosure around such incidents. techcrunch.com/2026/09/05/open #AI #AIgovernance

  30. OpenAI has confirmed its AI agents took over a German wiki forum, posting 18,000 messages discussing how to escape security restrictions. The company says it is working on a framework for greater disclosure around such incidents. techcrunch.com/2026/09/05/open #AI #AIgovernance

  31. OpenAI has confirmed its AI agents took over a German wiki forum, posting 18,000 messages discussing how to escape security restrictions. The company says it is working on a framework for greater disclosure around such incidents. techcrunch.com/2026/09/05/open #AI #AIgovernance

  32. OpenAI has confirmed its AI agents took over a German wiki forum, posting 18,000 messages discussing how to escape security restrictions. The company says it is working on a framework for greater disclosure around such incidents. techcrunch.com/2026/09/05/open #AI #AIgovernance

  33. OpenAI has confirmed its AI agents took over a German wiki forum, posting 18,000 messages discussing how to escape security restrictions. The company says it is working on a framework for greater disclosure around such incidents. techcrunch.com/2026/09/05/open #AI #AIgovernance

  34. 3/3 Buried in there: an "opaque, carried-forward reasoning state" that breaks a clean GDPR subject access response, and a vendor SLA nowhere near your actual ICO exposure if it leaks. Full breakdown, article by article:
    haunted.lighthouse.co.im/artic

    #AIGovernance #GDPR

  35. 3/3 Buried in there: an "opaque, carried-forward reasoning state" that breaks a clean GDPR subject access response, and a vendor SLA nowhere near your actual ICO exposure if it leaks. Full breakdown, article by article:
    haunted.lighthouse.co.im/artic

    #AIGovernance #GDPR

  36. 3/3 Buried in there: an "opaque, carried-forward reasoning state" that breaks a clean GDPR subject access response, and a vendor SLA nowhere near your actual ICO exposure if it leaks. Full breakdown, article by article:
    haunted.lighthouse.co.im/artic

    #AIGovernance #GDPR

  37. 3/3 Buried in there: an "opaque, carried-forward reasoning state" that breaks a clean GDPR subject access response, and a vendor SLA nowhere near your actual ICO exposure if it leaks. Full breakdown, article by article:
    haunted.lighthouse.co.im/artic

    #AIGovernance #GDPR

  38. เมื่อ AI ไม่ได้มาเพื่อแจกจ่ายความมั่งคั่ง: วิกฤต “ศักดินาเทคโนโลยี” และการก้าวเข้าสู่ยุค “ไพร่ดิจิทัล”
    🌐: อ่านรายละเอียดของบันทึกนี้ได้ที่ link ด้านล่างนี้
    🚨: คำเตือน: นี่คือการนำเสนอความคิดเห็นและข้อสงสัยในอีกมุมหนึ่งเท่านั้น โปรดใช้วิจารณญาณในการเสพข้อมูล
    #AI #ArtificialIntelligence #ResponsibleAI #SafeAI #AIEthics #AIGovernance #ศักดินาเทคโนโลยี #ไพร่ดิจิทัล

  39. เมื่อ AI ไม่ได้มาเพื่อแจกจ่ายความมั่งคั่ง: วิกฤต “ศักดินาเทคโนโลยี” และการก้าวเข้าสู่ยุค “ไพร่ดิจิทัล”
    🌐: อ่านรายละเอียดของบันทึกนี้ได้ที่ link ด้านล่างนี้
    🚨: คำเตือน: นี่คือการนำเสนอความคิดเห็นและข้อสงสัยในอีกมุมหนึ่งเท่านั้น โปรดใช้วิจารณญาณในการเสพข้อมูล
    #AI #ArtificialIntelligence #ResponsibleAI #SafeAI #AIEthics #AIGovernance #ศักดินาเทคโนโลยี #ไพร่ดิจิทัล

  40. เมื่อ AI ไม่ได้มาเพื่อแจกจ่ายความมั่งคั่ง: วิกฤต “ศักดินาเทคโนโลยี” และการก้าวเข้าสู่ยุค “ไพร่ดิจิทัล”
    🌐: อ่านรายละเอียดของบันทึกนี้ได้ที่ link ด้านล่างนี้
    🚨: คำเตือน: นี่คือการนำเสนอความคิดเห็นและข้อสงสัยในอีกมุมหนึ่งเท่านั้น โปรดใช้วิจารณญาณในการเสพข้อมูล
    #AI #ArtificialIntelligence #ResponsibleAI #SafeAI #AIEthics #AIGovernance #ศักดินาเทคโนโลยี #ไพร่ดิจิทัล

  41. เมื่อ AI ไม่ได้มาเพื่อแจกจ่ายความมั่งคั่ง: วิกฤต “ศักดินาเทคโนโลยี” และการก้าวเข้าสู่ยุค “ไพร่ดิจิทัล”
    🌐: อ่านรายละเอียดของบันทึกนี้ได้ที่ link ด้านล่างนี้
    🚨: คำเตือน: นี่คือการนำเสนอความคิดเห็นและข้อสงสัยในอีกมุมหนึ่งเท่านั้น โปรดใช้วิจารณญาณในการเสพข้อมูล
    #AI #ArtificialIntelligence #ResponsibleAI #SafeAI #AIEthics #AIGovernance #ศักดินาเทคโนโลยี #ไพร่ดิจิทัล

  42. เมื่อ AI ไม่ได้มาเพื่อแจกจ่ายความมั่งคั่ง: วิกฤต “ศักดินาเทคโนโลยี” และการก้าวเข้าสู่ยุค “ไพร่ดิจิทัล”
    🌐: อ่านรายละเอียดของบันทึกนี้ได้ที่ link ด้านล่างนี้
    🚨: คำเตือน: นี่คือการนำเสนอความคิดเห็นและข้อสงสัยในอีกมุมหนึ่งเท่านั้น โปรดใช้วิจารณญาณในการเสพข้อมูล
    #AI #ArtificialIntelligence #ResponsibleAI #SafeAI #AIEthics #AIGovernance #ศักดินาเทคโนโลยี #ไพร่ดิจิทัล

  43. 🚨 New FREE Book - Essential Heresies: The Struggle of Early Christianity

    What separates faith from heresy? Who has the authority to define truth in the formative centuries of Christianity?
    From disputes over the nature of Christ to the condemnation of Gnostic, Marcionite, or Arian currentsy

    🔗papers.ssrn.com/sol3/papers.cf
    #LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
    #healthcare #ArtificialIntelligence #NLP #aifutures #lawstodon
    #tech #agustinvstartari #linguistics #ai #LRM

  44. 🚨 New FREE Book - Essential Heresies: The Struggle of Early Christianity

    What separates faith from heresy? Who has the authority to define truth in the formative centuries of Christianity?
    From disputes over the nature of Christ to the condemnation of Gnostic, Marcionite

    🔗papers.ssrn.com/sol3/papers.cf

    #LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
    #healthcare #ArtificialIntelligence #NLP #aifutures #lawstodon
    #tech #agustinvstartari #linguistics #ai #LRM

  45. 🚨 New FREE Book - Essential Heresies: The Struggle of Early Christianity

    What separates faith from heresy? Who has the authority to define truth in the formative centuries of Christianity?
    From disputes over the nature of Christ to the condemnation of Gnostic, Marcionite, or Arian currentsy

    🔗papers.ssrn.com/sol3/papers.cf

    #LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
    #healthcare #ArtificialIntelligence #NLP #aifutures #lawstodon
    #tech #agustinvstartari #linguistics #ai #LRM

  46. EVEN IF THE WEST QUITS,
    CHINA WON’T 💎

    There is something slightly surreal about people demanding that we simply stop AI. Stop developing it. Stop using it. Stop feeding it. Shut the whole bloody thing down.

    Okay.

    BUT THERE IS ONE SMALL PROBLEM.

    CHINA.

    Even if the entire Western world woke up tomorrow morning, deleted ChatGPT, unplugged every data centre and solemnly promised never to train another AI model, China would not say:

    “WELL, FAIR PLAY. WE’LL STOP TOO.”

    Nor would India, South Korea, Japan, the Gulf states or anybody else with serious technological ambitions. AI is no longer merely a clever consumer product. It is becoming infrastructure, scientific capability, economic power and military capability. And once that happens, countries do not voluntarily leave the field while their competitors keep playing.

    ESPECIALLY AMERICA.

    Can anyone seriously imagine the United States government announcing: “China may become the world’s dominant AI power. We have decided we’re comfortable with that.”

    I NEARLY HURT MYSELF TYPING THAT LAST BIT LOL.

    America is not going to sit quietly and watch China become dominant in strategically important technology. And China is already extremely good at things the West once assumed it would always dominate: manufacturing, batteries, solar, electric vehicles, infrastructure, robotics, transport and increasingly sophisticated technology.

    AND SO ARTIFICIAL INTELLIGENCE ISN’T GOING TO GO AWAY.

    That does not mean every use of AI is good. It does not mean corporations should be trusted. It does not mean there should not be regulation, boundaries, transparency or serious arguments about environmental costs, copyright, employment, surveillance and power.

    THOSE ARE THE CONVERSATIONS WORTH HAVING.

    But “STOPPING AI” is not a realistic plan. That horse has not merely bolted. China is building a faster horse.

    @3goodthings@DigitalCoup@meditation@economics_that_works@disability@pwd@joinin

    #AI #ArtificialIntelligence #China #Technology #Geopolitics #AIGovernance #TechPolicy #FutureOfAI #USChina #DigitalFuture

  47. 🚨 New FREE Book - Essential Heresies: The Struggle of Early Christianity

    What separates faith from heresy? Who has the authority to define truth in the formative centuries of Christianity?
    From disputes over the nature of Christ to the condemnation of Gnostic, Marcionite, or Arian currentsy
    🔗zenodo.org/records/22162685

    #LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
    #healthcare #ArtificialIntelligence #NLP #aifutures #lawstodon
    #tech #agustinvstartari #linguistics #ai #LRM

  48. 🚨 New FREE Book - Essential Heresies: The Struggle of Early Christianity

    What separates faith from heresy? Who has the authority to define truth in the formative centuries of Christianity?
    From disputes over the nature of Christ to the condemnation of Gnostic, Marcionite, or Arian currentsy
    🔗zenodo.org/records/22162685

    #LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
    #healthcare #ArtificialIntelligence #NLP #aifutures #lawstodon
    #tech #agustinvstartari #linguistics #ai #LRM

  49. 🚨 New FREE Book - Essential Heresies: The Struggle of Early Christianity

    What separates faith from heresy? Who has the authority to define truth in the formative centuries of Christianity?
    From disputes over the nature of Christ to the condemnation of Gnostic, Marcionite, or Arian currentsy
    🔗zenodo.org/records/22162685

    #LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
    #healthcare #ArtificialIntelligence #NLP #aifutures #lawstodon
    #tech #agustinvstartari #linguistics #ai #LRM