Governance

AI, Governance, Tech  

Who signs off on a government algorithm’s margin of error?

The article discusses the lack of accountability and clarity in evaluating government algorithms, particularly regarding acceptable margins of error. It emphasizes the importance of understanding model performance, calibration, and the implications of error thresholds. The author advocates for explicit documentation of responsibility and evidence before deploying algorithms to enhance accountability.

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AI, Cybersecurity, Governance, Tech  

AI in Cyberattacks

Recent security reports reveal that while AI is not fundamentally transforming cyberattacks, it significantly accelerates existing methods, enabling attackers to operate at unprecedented scales. AI’s role is shifting from aiding preparation to executing operational tasks, raising challenges in governance, accountability, and speed that organizations must urgently address.

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AI, Ethics, Governance  

Why AI’s Next Strategic Hire Is a Philosopher, Not a Coder

AI companies are increasingly hiring philosophers to address complex challenges related to ethics, governance, and values, shifting from technical performance issues. These philosophers collaborate with AI safety researchers to establish principles guiding AI behavior, helping ensure fair and accountable outcomes. This trend represents a potential strategic advantage in AI development.

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