True – but this is exactly where AI could soon become dangerous:
If AI not only analyzes data, but also takes on the role of 'scapegoat', CEOs may only need a digital alibi.
The more exciting question is: who will be liable – the algorithm or the person who fed it?
POLICY
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AI as Corporate Scapegoat: Liability and Accountability Questions
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AGI Societal Impact: Major Changes Ahead Discussion
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Recently had a great conversation with @StevenLevy @WIRED about the societal implications of AGI, a lot of things are about to change dramatically:
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Supreme Court Tariff Ruling May Trigger US Economic Boom
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Look out for the boom in the US economy when the Supreme Court throws out Trump's tariffs.
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AI Strains Academic Peer Review Systems with Fraud Risks
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Agreed. And our academic & peer review systems are not built for gaining from AI, but instead are designed in a way that is particularly strained by bad AI use (too many papers, worse easy signals of quality, more fraud done better)
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Academic Incentives and Governance in AI Research
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Academics are poorly incentivized to discover relevant truth, and strongly incentivized to keep their peers happy. In the absence of capable external governance, I don’t see how that’s fixable.
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India’s ESTIC 2025 Conclave Showcases Emerging Science Technology Innovation
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Emerging Science, Technology, and Innovation Conclave (ESTIC) 2025 !
— IndiaAI (@OfficialINDIAai) 2 août 2025
🔗 For detailed information, please visit: https://t.co/rfFVDSZUQN@IndiaDST @abhish18 @kavitabha @GoI_MeitY #ViksitBharat2047 https://t.co/kwEJb1RwGyEmerging Science, Technology, and Innovation Conclave (ESTIC) 2025 ! For detailed information, please visit: https://
estic.dst.gov.in @IndiaDST @abhish18 @kavitabha @GoI_MeitY #ViksitBharat2047 -
Meta’s AI Conversation Sharing Privacy Rollout Fails
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See also Meta's disastrous rollout of AI conversation sharing – humans are very, very bad at understanding privacy settings
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Llama 4 failure reshapes AI landscape geopolitically
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The relative failure of Llama 4 turned out to be very consequential to the AI landscape. It led to the shifting the locus of open weights development to China, a move towards closed models as companies running local Llama couldn’t continue to upgrade, & big talent wars in the US.
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America and China Race in AI While Europe Watches Sidelines
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For America and China AI is a race. For Europe it's a spectator sport.
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Policy Middleware for Dynamic Agent Document Access Management
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working with a policy middleware for managing dynamic document/MCP access for agents eg. agents capability mapped to employee tags (internal agents) or to subscriber tier (agent platforms) any agent builders open to chatting w them as they validate use cases?
(will DM intro)