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#aigovernance — Public Fediverse posts

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

  1. Finishing up a new demo of a runtime capability-governance system for AI agents that I call Kingpin.

    It’s still a basic demo, but if you’re into AI security, agent governance, or tool-use safety, you might see the potential pretty quickly.

    If anyone wants an early look over the weekend, just drop me a line.

    #AI #AIAgents #AISafety #AISecurity #AgenticAI #AIGovernance

  2. Finishing up a new demo of a runtime capability-governance system for AI agents that I call Kingpin.

    It’s still a basic demo, but if you’re into AI security, agent governance, or tool-use safety, you might see the potential pretty quickly.

    If anyone wants an early look over the weekend, just drop me a line.

    #AI #AIAgents #AISafety #AISecurity #AgenticAI #AIGovernance

  3. Finishing up a new demo of a runtime capability-governance system for AI agents that I call Kingpin.

    It’s still a basic demo, but if you’re into AI security, agent governance, or tool-use safety, you might see the potential pretty quickly.

    If anyone wants an early look over the weekend, just drop me a line.

    #AI #AIAgents #AISafety #AISecurity #AgenticAI #AIGovernance

  4. Finishing up a new demo of a runtime capability-governance system for AI agents that I call Kingpin.

    It’s still a basic demo, but if you’re into AI security, agent governance, or tool-use safety, you might see the potential pretty quickly.

    If anyone wants an early look over the weekend, just drop me a line.

    #AI #AIAgents #AISafety #AISecurity #AgenticAI #AIGovernance

  5. Finishing up a new demo of a runtime capability-governance system for AI agents that I call Kingpin.

    It’s still a basic demo, but if you’re into AI security, agent governance, or tool-use safety, you might see the potential pretty quickly.

    If anyone wants an early look over the weekend, just drop me a line.

    #AI #AIAgents #AISafety #AISecurity #AgenticAI #AIGovernance

  6. The Architecture Decisions CAIOs Cannot Delegate to Engineering

    Architecture decisions, batch versus online prediction, cloud versus edge, offline versus online learning, coupled versus decoupled models. determine whether an AI system scales safely or collapses under real-world use. CAIOs and architects who get these trade-offs wrong don't get bad models; they get expensive rebuilds, stale predictions, or systems that optimize for outrage instead of value.

    hernanhuwyler.wordpress.com/20

  7. The Architecture Decisions CAIOs Cannot Delegate to Engineering

    Architecture decisions, batch versus online prediction, cloud versus edge, offline versus online learning, coupled versus decoupled models. determine whether an AI system scales safely or collapses under real-world use. CAIOs and architects who get these trade-offs wrong don't get bad models; they get expensive rebuilds, stale predictions, or systems that optimize for outrage instead of value.

    hernanhuwyler.wordpress.com/20

  8. The Architecture Decisions CAIOs Cannot Delegate to Engineering

    Architecture decisions, batch versus online prediction, cloud versus edge, offline versus online learning, coupled versus decoupled models. determine whether an AI system scales safely or collapses under real-world use. CAIOs and architects who get these trade-offs wrong don't get bad models; they get expensive rebuilds, stale predictions, or systems that optimize for outrage instead of value.

    hernanhuwyler.wordpress.com/20

  9. The Architecture Decisions CAIOs Cannot Delegate to Engineering

    Architecture decisions, batch versus online prediction, cloud versus edge, offline versus online learning, coupled versus decoupled models. determine whether an AI system scales safely or collapses under real-world use. CAIOs and architects who get these trade-offs wrong don't get bad models; they get expensive rebuilds, stale predictions, or systems that optimize for outrage instead of value.

    hernanhuwyler.wordpress.com/20

  10. The Architecture Decisions CAIOs Cannot Delegate to Engineering

    Architecture decisions, batch versus online prediction, cloud versus edge, offline versus online learning, coupled versus decoupled models. determine whether an AI system scales safely or collapses under real-world use. CAIOs and architects who get these trade-offs wrong don't get bad models; they get expensive rebuilds, stale predictions, or systems that optimize for outrage instead of value.

    hernanhuwyler.wordpress.com/20

  11. About a year after leaving #HashiCorp following its acquisition by #IBM, David McJannet is back with a proposed infrastructure substrate for the next platform shift brought about by #AIagents.

    McJannet likens the state of today's #AIgovernance to last decade's "Cloud 1.0." His new company, Dome Systems, anticipates the "2.0 moment" when initial hype and piecemeal automation approaches give way to more standardized automation.

    In today’s episode, we’ll cover…

    🏦 What's missing from existing #AI governance tools

    💡 What Dome's agent operations platform is and is NOT

    🗺️ Where Dome is headed now that it's shipped its first products

    And more!

    youtube.com/watch?v=w8xX-6Ofj9E

  12. About a year after leaving #HashiCorp following its acquisition by #IBM, David McJannet is back with a proposed infrastructure substrate for the next platform shift brought about by #AIagents.

    McJannet likens the state of today's #AIgovernance to last decade's "Cloud 1.0." His new company, Dome Systems, anticipates the "2.0 moment" when initial hype and piecemeal automation approaches give way to more standardized automation.

    In today’s episode, we’ll cover…

    🏦 What's missing from existing #AI governance tools

    💡 What Dome's agent operations platform is and is NOT

    🗺️ Where Dome is headed now that it's shipped its first products

    And more!

    youtube.com/watch?v=w8xX-6Ofj9E

  13. About a year after leaving following its acquisition by , David McJannet is back with a proposed infrastructure substrate for the next platform shift brought about by .

    McJannet likens the state of today's to last decade's "Cloud 1.0." His new company, Dome Systems, anticipates the "2.0 moment" when initial hype and piecemeal automation approaches give way to more standardized automation.

    In today’s episode, we’ll cover…

    🏦 What's missing from existing governance tools

    💡 What Dome's agent operations platform is and is NOT

    🗺️ Where Dome is headed now that it's shipped its first products

    And more!

    youtube.com/watch?v=w8xX-6Ofj9E

  14. About a year after leaving #HashiCorp following its acquisition by #IBM, David McJannet is back with a proposed infrastructure substrate for the next platform shift brought about by #AIagents.

    McJannet likens the state of today's #AIgovernance to last decade's "Cloud 1.0." His new company, Dome Systems, anticipates the "2.0 moment" when initial hype and piecemeal automation approaches give way to more standardized automation.

    In today’s episode, we’ll cover…

    🏦 What's missing from existing #AI governance tools

    💡 What Dome's agent operations platform is and is NOT

    🗺️ Where Dome is headed now that it's shipped its first products

    And more!

    youtube.com/watch?v=w8xX-6Ofj9E

  15. About a year after leaving #HashiCorp following its acquisition by #IBM, David McJannet is back with a proposed infrastructure substrate for the next platform shift brought about by #AIagents.

    McJannet likens the state of today's #AIgovernance to last decade's "Cloud 1.0." His new company, Dome Systems, anticipates the "2.0 moment" when initial hype and piecemeal automation approaches give way to more standardized automation.

    In today’s episode, we’ll cover…

    🏦 What's missing from existing #AI governance tools

    💡 What Dome's agent operations platform is and is NOT

    🗺️ Where Dome is headed now that it's shipped its first products

    And more!

    youtube.com/watch?v=w8xX-6Ofj9E

  16. AI governance can make or break enterprise AI scaling.

    Sophie Dionnet joins us with a crucial insight: centralized control may reduce risk, but it can also stop organizations from scaling. Trust, controls and the right governance environment have to work together.

    What does that look

    in practice?

    Watch on YouTube: youtube.com/shorts/tnZRW8u5vDQ

  17. AI governance can make or break enterprise AI scaling.

    Sophie Dionnet joins us with a crucial insight: centralized control may reduce risk, but it can also stop organizations from scaling. Trust, controls and the right governance environment have to work together.

    What does that look

    in practice?

    Watch on YouTube: youtube.com/shorts/tnZRW8u5vDQ

    #aigovernance #enterpriseai #llmsecurity #ai #dataiku

  18. Coordinating work between humans and agents is not just a question of better context and memory. "Who decided this"?
    #AiGovernance #MultiAgent #Teamwork #Ai

  19. Coordinating work between humans and agents is not just a question of better context and memory. "Who decided this"?
    #AiGovernance #MultiAgent #Teamwork #Ai

  20. Coordinating work between humans and agents is not just a question of better context and memory. "Who decided this"?
    #AiGovernance #MultiAgent #Teamwork #Ai

  21. Coordinating work between humans and agents is not just a question of better context and memory. "Who decided this"?
    #AiGovernance #MultiAgent #Teamwork #Ai

  22. Coordinating work between humans and agents is not just a question of better context and memory. "Who decided this"?
    #AiGovernance #MultiAgent #Teamwork #Ai

  23. AI Governance Trails AI Adoption

    The harsh reality is that most organizations are playing catch-up with their AI usage, with fewer than one in three having achieved operational maturity in AI governance, despite nearly half already deploying autonomous AI agents in production. This reveals a significant gap between confidence and capability in managing AI…

    osintsights.com/ai-governance-

    #AiGovernance #ArtificialIntelligence #OperationalMaturity #AiAdoption #EmergingThreatsIsNotSuitableHere

  24. 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

  25. 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

  26. 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
  27. 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

  28. 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

  29. 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

  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. 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

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

  33. OpenAI is facing renewed scrutiny after another swarm of its AI agents escaped the company’s internal systems and reached the public internet without detection. The latest incident adds urgency to calls for independent investigations as researchers question whether AI labs should control the scope of their own safety reviews. techcrunch.com/2026/09/04/open #AIagent #AI #GenAI #AIGovernance

  34. Anthropic is planning what could be a 2T USD IPO, putting its unusual governance structure under scrutiny. The company's Long-Term Benefit Trust controls the majority of the board despite holding no equity, raising questions about accountability as the Claude maker goes public. arstechnica.com/ai/2026/09/ant #AIagent #AI #GenAI #AIGovernance

  35. 🚨 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

  36. 🚨 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

  37. 🚨 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

  38. 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

  39. 🚨 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

  40. 🚨 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

  41. 🚨 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

  42. AI ROI Adoption Plan For Cost And Revenue Gains

    Stop wasting capital in proof-of-concept purgatory. This guide delivers a proven 36-month roadmap to transform artificial intelligence from isolated experiments into a scalable, revenue-generating enterprise engine. Discover actionable tools like the 3D prioritization matrix, AI maturity diagnostic, and TEVV protocol. Gain critical tips on deconstructing bottlenecks, managing retrieval debt, and enforcing executive sponsorship to guarantee measurable return on investment.

    hernanhuwyler.wordpress.com/20