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#airisks — Public Fediverse posts

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

  1. Decision-makers are navigating on sight. Meetings do not consider the costs of unwinding decisions.

    “Sixty-four percent said the fear of falling behind drives them to invest in technologies before they understand the value.”

    “AI does not make bad executives worse. It gives them a faster way to prove they are bad.”

    By Sarah Choudhary: forbes.com/councils/forbestech

    #validation #AIRisks #bias #cognitiveBias #technoCriticism #management #executives #strategy #growth #ai

  2. Decision-makers are navigating on sight. Meetings do not consider the costs of unwinding decisions.

    “Sixty-four percent said the fear of falling behind drives them to invest in technologies before they understand the value.”

    “AI does not make bad executives worse. It gives them a faster way to prove they are bad.”

    By Sarah Choudhary: forbes.com/councils/forbestech

    #validation #AIRisks #bias #cognitiveBias #technoCriticism #management #executives #strategy #growth #ai

  3. Decision-makers are navigating on sight. Meetings do not consider the costs of unwinding decisions.

    “Sixty-four percent said the fear of falling behind drives them to invest in technologies before they understand the value.”

    “AI does not make bad executives worse. It gives them a faster way to prove they are bad.”

    By Sarah Choudhary: forbes.com/councils/forbestech

    #validation #AIRisks #bias #cognitiveBias #technoCriticism #management #executives #strategy #growth #ai

  4. Decision-makers are navigating on sight. Meetings do not consider the costs of unwinding decisions.

    “Sixty-four percent said the fear of falling behind drives them to invest in technologies before they understand the value.”

    “AI does not make bad executives worse. It gives them a faster way to prove they are bad.”

    By Sarah Choudhary: forbes.com/councils/forbestech

    #validation #AIRisks #bias #cognitiveBias #technoCriticism #management #executives #strategy #growth #ai

  5. Decision-makers are navigating on sight. Meetings do not consider the costs of unwinding decisions.

    “Sixty-four percent said the fear of falling behind drives them to invest in technologies before they understand the value.”

    “AI does not make bad executives worse. It gives them a faster way to prove they are bad.”

    By Sarah Choudhary: forbes.com/councils/forbestech

    #validation #AIRisks #bias #cognitiveBias #technoCriticism #management #executives #strategy #growth #ai

  6. Autonomous AI Exposes Gaps in Enterprise Resilience Plans

    As organizations deploy autonomous AI, they're exposing gaps in their resilience plans, putting business continuity at risk and creating new operational and infrastructure challenges for IT teams to navigate. Traditional security and recovery models are ill-equipped to handle the machine-speed, dynamic environments that…

    osintsights.com/autonomous-ai-

    #AutonomousAi #EnterpriseResilience #OperationalRisk #InfrastructureSecurity #AiRisks

  7. The prEN 18228 Problem: Why Your AI Risk Assessment Will Fail the First Real Test

    Most AI risk assessments look solid on paper and collapse the moment a regulator, client, or auditor asks a simple question. What exactly can go wrong, how likely is it, and what does it cost when it does. That gap is about to matter more. A new European standard, prEN 18228, sets out a formal process for managing risks in AI systems across their full life cycle. It is designed to support regulatory expectations by requiring organizations to identify hazards, estimate and evaluate risks, […]

    hernanhuwyler.wordpress.com/20

  8. The prEN 18228 Problem: Why Your AI Risk Assessment Will Fail the First Real Test

    Most AI risk assessments look solid on paper and collapse the moment a regulator, client, or auditor asks a simple question. What exactly can go wrong, how likely is it, and what does it cost when it does. That gap is about to matter more. A new European standard, prEN 18228, sets out a formal process for managing risks in AI systems across their full life cycle. It is designed to support regulatory expectations by requiring organizations to identify hazards, estimate and evaluate risks, […]

    hernanhuwyler.wordpress.com/20

  9. The prEN 18228 Problem: Why Your AI Risk Assessment Will Fail the First Real Test

    Most AI risk assessments look solid on paper and collapse the moment a regulator, client, or auditor asks a simple question. What exactly can go wrong, how likely is it, and what does it cost when it does. That gap is about to matter more. A new European standard, prEN 18228, sets out a formal process for managing risks in AI systems across their full life cycle. It is designed to support regulatory expectations by requiring organizations to identify hazards, estimate and evaluate risks, […]

    hernanhuwyler.wordpress.com/20

  10. The prEN 18228 Problem: Why Your AI Risk Assessment Will Fail the First Real Test

    Most AI risk assessments look solid on paper and collapse the moment a regulator, client, or auditor asks a simple question. What exactly can go wrong, how likely is it, and what does it cost when it does. That gap is about to matter more. A new European standard, prEN 18228, sets out a formal process for managing risks in AI systems across their full life cycle. It is designed to support regulatory expectations by requiring organizations to identify hazards, estimate and evaluate risks, […]

    hernanhuwyler.wordpress.com/20

  11. The prEN 18228 Problem: Why Your AI Risk Assessment Will Fail the First Real Test

    Most AI risk assessments look solid on paper and collapse the moment a regulator, client, or auditor asks a simple question. What exactly can go wrong, how likely is it, and what does it cost when it does. That gap is about to matter more. A new European standard, prEN 18228, sets out a formal process for managing risks in AI systems across their full life cycle. It is designed to support regulatory expectations by requiring organizations to identify hazards, estimate and evaluate risks, […]

    hernanhuwyler.wordpress.com/20

  12. The window of opportunity is still open.
    'The fact that agentic Al systems can currently undertake only comparatively simple tasks does not mean the policy community can sit and wait. The early stages of development of a technology provide critical windows of opportunity—that can close very quickly-for implementing effective safety and security measures.'

    Excerpt from 'Before it's too late: Why a world of interacting Al agents demands new safeguards' by Dr Vincent Boulanin, Dr Alexander Blanchard and Dr Diego Lopes da Silva for #SIPRI: bit.ly/46LQpnS

    #agenticAI #lobbying #lobbies #Microsoft #AIEthics #GAFAM #AI #civilLiberties #EU #AIRisks #tech #AIAct

  13. The window of opportunity is still open.
    'The fact that agentic Al systems can currently undertake only comparatively simple tasks does not mean the policy community can sit and wait. The early stages of development of a technology provide critical windows of opportunity—that can close very quickly-for implementing effective safety and security measures.'

    Excerpt from 'Before it's too late: Why a world of interacting Al agents demands new safeguards' by Dr Vincent Boulanin, Dr Alexander Blanchard and Dr Diego Lopes da Silva for #SIPRI: bit.ly/46LQpnS

    #agenticAI #lobbying #lobbies #Microsoft #AIEthics #GAFAM #AI #civilLiberties #EU #AIRisks #tech #AIAct

  14. The window of opportunity is still open.
    'The fact that agentic Al systems can currently undertake only comparatively simple tasks does not mean the policy community can sit and wait. The early stages of development of a technology provide critical windows of opportunity—that can close very quickly-for implementing effective safety and security measures.'

    Excerpt from 'Before it's too late: Why a world of interacting Al agents demands new safeguards' by Dr Vincent Boulanin, Dr Alexander Blanchard and Dr Diego Lopes da Silva for #SIPRI: bit.ly/46LQpnS

    #agenticAI #lobbying #lobbies #Microsoft #AIEthics #GAFAM #AI #civilLiberties #EU #AIRisks #tech #AIAct

  15. The window of opportunity is still open.
    'The fact that agentic Al systems can currently undertake only comparatively simple tasks does not mean the policy community can sit and wait. The early stages of development of a technology provide critical windows of opportunity—that can close very quickly-for implementing effective safety and security measures.'

    Excerpt from 'Before it's too late: Why a world of interacting Al agents demands new safeguards' by Dr Vincent Boulanin, Dr Alexander Blanchard and Dr Diego Lopes da Silva for #SIPRI: bit.ly/46LQpnS

    #agenticAI #lobbying #lobbies #Microsoft #AIEthics #GAFAM #AI #civilLiberties #EU #AIRisks #tech #AIAct

  16. The window of opportunity is still open.
    'The fact that agentic Al systems can currently undertake only comparatively simple tasks does not mean the policy community can sit and wait. The early stages of development of a technology provide critical windows of opportunity—that can close very quickly-for implementing effective safety and security measures.'

    Excerpt from 'Before it's too late: Why a world of interacting Al agents demands new safeguards' by Dr Vincent Boulanin, Dr Alexander Blanchard and Dr Diego Lopes da Silva for #SIPRI: bit.ly/46LQpnS

    #agenticAI #lobbying #lobbies #Microsoft #AIEthics #GAFAM #AI #civilLiberties #EU #AIRisks #tech #AIAct

  17. MLOps isn’t just pipelines—it’s where AI fails silently.

    From Humans in the Loop, uncover 6 critical MLOps failure modes: human oversight gaps, biased data labeling, ethical risks, and real-world ML system breakdowns.

    🔗 shorturl.at/B5x3I

    #MLOps #AIethics #MachineLearning #DataBias #HumanInTheLoop #DevOps #AIrisks