#aigovernance — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #aigovernance, aggregated by home.social.
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The Tech Coup Playbook.
"clear conflict of interest”
https://theguardian.com/technology/2026/sep/07/architect-uk-ai-policy-quits-anthropic-conflict-of-interest-concerns #AIPolicy #AIGovernance #DigitalPolicy #TechRegulation #AIRegulation #PublicInterestTech #UKTechPolicy -
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.
https://rc-trust.ai/news/news-detail/studying-ai-in-practice
#RCTrust #TrustworthyAI #AIGovernance #HCI -
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. https://gizmodo.com/un-human-rights-chief-says-a-handful-of-men-have-almost-unlimited-power-over-ai-2000808248 #AIagent #AI #GenAI #AIgovernance
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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. https://gizmodo.com/un-human-rights-chief-says-a-handful-of-men-have-almost-unlimited-power-over-ai-2000808248 #AIagent #AI #GenAI #AIgovernance
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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. https://gizmodo.com/un-human-rights-chief-says-a-handful-of-men-have-almost-unlimited-power-over-ai-2000808248 #AIagent #AI #GenAI #AIgovernance
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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. https://gizmodo.com/un-human-rights-chief-says-a-handful-of-men-have-almost-unlimited-power-over-ai-2000808248 #AIagent #AI #GenAI #AIgovernance
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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. https://gizmodo.com/un-human-rights-chief-says-a-handful-of-men-have-almost-unlimited-power-over-ai-2000808248 #AIagent #AI #GenAI #AIgovernance
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https://www.europesays.com/people/?p=218338 When Tech Idealism Becomes Overreach: The AI Governance Challenge #AIGovernance #DarioAmodei #opinion #Technology
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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 -
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 -
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 -
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 -
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 -
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 […] -
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 […] -
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 […] -
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 […] -
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 […] -
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?
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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?
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Your Vendor’s “We Don’t Train On Your Data” Promise Is a Sentence, Not A Data Architecture
Why the real exposure in generative, predictive, and agentic AI contracts lives in fine-tuning, logs, and retrieval, not in the one line everyone quotes back to legal Every procurement team has now heard the sentence. A vendor says it, a sales deck repeats it, and somebody on the buying side writes it into the approval memo as if it closes the risk. It doesn't. ”We don't train on your data” answers one question out of at least seven, and it is usually the easiest one for a vendor to […] -
WHERE OTHERS LOSE CONTROL – WE STAY IN THE LOOP.
At Infinito.Nexus, we believe that AI should never replace human judgment. We are the captains. AI is our navigator. While others hand over responsibility to black-box systems, we stay in control. We design the architecture, review the code, verify every deployment, and make the decisions that shape the future of the systems we build. AI is one of the most powerful tools ever created. But it remains a tool. We are the engineers, architects, and craftsmen who use it to build sovereign digital infrastructure faster, more reliably, and at a scale that was impossible only a few years ago. […]https://blog.infinito.nexus/blog/2026/06/16/where-others-lose-control-we-stay-in-the-loop/
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WHERE OTHERS LOSE CONTROL – WE STAY IN THE LOOP.
At Infinito.Nexus, we believe that AI should never replace human judgment. We are the captains. AI is our navigator. While others hand over responsibility to black-box systems, we stay in control. We design the architecture, review the code, verify every deployment, and make the decisions that shape the future of the systems we build. AI is one of the most powerful tools ever created. But it remains a tool. We are the engineers, architects, and craftsmen who use it to build sovereign digital infrastructure faster, more reliably, and at a scale that was impossible only a few years ago. […]https://blog.infinito.nexus/blog/2026/06/16/where-others-lose-control-we-stay-in-the-loop/
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Pleasure to serve as evaluator at the review meeting in #Rome of the #AI4gov #HorizonEurope project 🇪🇺
Great discussions on AI, public governance & real-world policy impact. Encouraging to see such committed work on AI in the public sector.