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?
REGULATION
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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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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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How AI Is Changing Student Learning and Academic Integrity
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How AI Is Changing the Way Students Learn and Cheat #AI #AIio #AIInnovation #ML #DataScience #Futureofwork @HaroldSinnott @fogoros @iainljbrown @NandoDF @katecrawford @drhassanrashidi @YuHelenYu
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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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Science Self-Regulation Fails Against Identitarian Cult Influence
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By letting themselves being captured by identitarian cults, science has delivered empirical proof that self regulation of science does not work, no?
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Leading Scholars Urge Evidence-Based AI Policy Approach
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In a new Science paper, top scholars from @Stanford
, @UCBerkeley
, @Princeton
, and other leading institutions urge policymakers to adopt an evidence-based approach to AI policy. Lead author @RishiBommasani explains what it entails and why it matters: