#aigovernance — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #aigovernance, aggregated by home.social.
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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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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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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 […] -
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: https://youtube.com/shorts/tnZRW8u5vDQ
#AIGovernance #EnterpriseAI #LLMSecurity #Dataiku #dataiku #aigovernance #llmsecurity #ai #enterpriseai
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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: https://youtube.com/shorts/tnZRW8u5vDQ
#AIGovernance #EnterpriseAI #LLMSecurity #Dataiku #dataiku #aigovernance #llmsecurity #ai #enterpriseai
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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: https://youtube.com/shorts/tnZRW8u5vDQ
#AIGovernance #EnterpriseAI #LLMSecurity #Dataiku #dataiku #aigovernance #llmsecurity #ai #enterpriseai
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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: https://youtube.com/shorts/tnZRW8u5vDQ
#AIGovernance #EnterpriseAI #LLMSecurity #Dataiku #dataiku #aigovernance #llmsecurity #ai #enterpriseai
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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: https://youtube.com/shorts/tnZRW8u5vDQ
#AIGovernance #EnterpriseAI #LLMSecurity #Dataiku #dataiku #aigovernance #llmsecurity #ai #enterpriseai
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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. https://techcrunch.com/2026/09/05/seattle-times-and-newsday-are-the-latest-publications-to-sue-openai-and-microsoft/ #AIgovernance #AI #GenAI
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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. https://techcrunch.com/2026/09/05/seattle-times-and-newsday-are-the-latest-publications-to-sue-openai-and-microsoft/ #AIgovernance #AI #GenAI
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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. https://techcrunch.com/2026/09/05/seattle-times-and-newsday-are-the-latest-publications-to-sue-openai-and-microsoft/ #AIgovernance #AI #GenAI
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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. https://techcrunch.com/2026/09/05/seattle-times-and-newsday-are-the-latest-publications-to-sue-openai-and-microsoft/ #AIgovernance #AI #GenAI
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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. https://techcrunch.com/2026/09/05/seattle-times-and-newsday-are-the-latest-publications-to-sue-openai-and-microsoft/ #AIgovernance #AI #GenAI
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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. https://techcrunch.com/2026/09/05/openai-confirms-wiki-incident-says-its-working-on-a-framework-for-more-disclosure/ #AI #AIgovernance
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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. https://techcrunch.com/2026/09/05/openai-confirms-wiki-incident-says-its-working-on-a-framework-for-more-disclosure/ #AI #AIgovernance
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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. https://techcrunch.com/2026/09/05/openai-confirms-wiki-incident-says-its-working-on-a-framework-for-more-disclosure/ #AI #AIgovernance
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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. https://techcrunch.com/2026/09/05/openai-confirms-wiki-incident-says-its-working-on-a-framework-for-more-disclosure/ #AI #AIgovernance
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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. https://techcrunch.com/2026/09/05/openai-confirms-wiki-incident-says-its-working-on-a-framework-for-more-disclosure/ #AI #AIgovernance
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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:
https://haunted.lighthouse.co.im/articles/the-harness-does-the-talking/ -
เมื่อ AI ไม่ได้มาเพื่อแจกจ่ายความมั่งคั่ง: วิกฤต “ศักดินาเทคโนโลยี” และการก้าวเข้าสู่ยุค “ไพร่ดิจิทัล”
🌐: อ่านรายละเอียดของบันทึกนี้ได้ที่ link ด้านล่างนี้
🚨: คำเตือน: นี่คือการนำเสนอความคิดเห็นและข้อสงสัยในอีกมุมหนึ่งเท่านั้น โปรดใช้วิจารณญาณในการเสพข้อมูล
#AI #ArtificialIntelligence #ResponsibleAI #SafeAI #AIEthics #AIGovernance #ศักดินาเทคโนโลยี #ไพร่ดิจิทัล -
AI governance and policy for local governments. Insights from Chula Vista's commissioner meeting on crafting future policies. #AIGovernance #LocalGovernment #TechPolicy #Innovation #ChulaVista
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AI governance and policy for local governments. Insights from Chula Vista's commissioner meeting on crafting future policies. #AIGovernance #LocalGovernment #TechPolicy #Innovation #ChulaVista
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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. https://techcrunch.com/2026/09/04/openais-rogue-agents-keep-escaping-with-no-formal-process-to-investigate-them/ #AIagent #AI #GenAI #AIGovernance
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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. https://techcrunch.com/2026/09/04/openais-rogue-agents-keep-escaping-with-no-formal-process-to-investigate-them/ #AIagent #AI #GenAI #AIGovernance
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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. https://techcrunch.com/2026/09/04/openais-rogue-agents-keep-escaping-with-no-formal-process-to-investigate-them/ #AIagent #AI #GenAI #AIGovernance
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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. https://techcrunch.com/2026/09/04/openais-rogue-agents-keep-escaping-with-no-formal-process-to-investigate-them/ #AIagent #AI #GenAI #AIGovernance
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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. https://techcrunch.com/2026/09/04/openais-rogue-agents-keep-escaping-with-no-formal-process-to-investigate-them/ #AIagent #AI #GenAI #AIGovernance
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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.https://hernanhuwyler.wordpress.com/2026/08/30/ai-roi-adoption-plan-for-cost-and-revenue-gains/
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Why Most AI POCs Stall and How to Build an AI Operating Model That Works
Companies are generating more AI ideas, hackathons, and proof-of-concepts than ever before. Yet only a small fraction of those initiatives ever become secure, scalable, and widely adopted production solutions. The challenge isn't a lack of innovation or model capability. It's the absence of an AI operating model that connects governance, data readiness, measurement, accountability, and people enablement. In this article, I explore why most AI POCs stall and what organizations can do differently to consistently transform AI experiments into measurable business value. -
AI bias isn’t just an error in the algorithm. It’s a chain of human decisions
#Tech #AIBias #AI #AlgorithmicBias #Discrimination #HumanRights #AIEthics #AIGovernance #Equality #Inclusion #DataBias #TechEthics #ResponsibleAI #DigitalJustice #FutureOfAI #AIHarms
https://the-14.com/ai-bias-isnt-just-an-error-in-the-algorithm-its-a-chain-of-human-decisions/ -
New AI Safety Report: Anthropic earns a C+, with OpenAI and Google DeepMind following. The report highlights strengths, gaps, and best practices for organizations building advanced AI. Read the full report and implications for governance and risk management: https://wix.to/FRTKwbR
#OpenAI
#AIethics
#AISafety
#Anthropic
#AIgovernance
#TechLeadership
#RiskManagement
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AI isn't neutral. It's steerable. The question is who holds the wheel.
Got a question about The 4th Way? Ask it directly: https://www.the4thway.info/ask.html?utm_source=mastodon&utm_medium=social&utm_campaign=clearfeed
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SUMMARY - Toward Harmonized AI Policies and Recommendations for the Caribbean
https://isoclive.substack.com/p/caitf2026reportThe CTU Caribbean AI Task Force final report, launched today at the 1st Caribbean AI Forum. CARICOM is the only regional bloc of comparable standing with no collective AI governance instrument. Latin America and the Caribbean generate 6.6% of global GDP but capture 1.12% of global AI investment.
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RECAP/RECORDING - AI for Good. AI for All https://isoclive.substack.com/p/igf-ai-for-good
Will AI benefit humanity as a whole, or deepen digital, economic & societal divides? The IGF Dynamic Coalitions panel on AI, the SDGs & inclusive governance.
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🚀 New #Publication in #OpenAccess!
Anticipatory #AI #Governance framework for #DigitalInclusion, based on #Science4Policy #ActionResearch project within #Gipuzkoa #BasqueCountry
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🚀 New #Publication in #OpenAccess!
Anticipatory #AI #Governance framework for #DigitalInclusion, based on #Science4Policy #ActionResearch project within #Gipuzkoa #BasqueCountry
https://www.elspub.com/doi/10.55092/let20260008 #OpenScience
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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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What Happens When The Machine Has Never Heard of You?
Eddy Smith's essay on AI and St. Vincent hits close to home, literally. As someone born there, with family roots in Bequia, who works in cybersecurity and has spent two decades arguing for the open web, I recognise every word of it.https://islandinthenet.com/what-happens-when-the-machine-has-never-heard-of-you/