Thanks to @kharijohnson for writing. I'm glad they're finally being investigated. Us little people have to abide by the rules but this behemoth created its assets as a nonprofit & the only thing that happens is that they voluntarily become a for profit?
ETHICS
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AI Model Terms of Service: Synthetic Training Data Restrictions
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And be that as it may, isn’t it a totally ridiculous stipulation in the TOC anyway? Use the model for anything except as synthetic training data?
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Professors’ hypocrisy: genocide activism versus AI safety research
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Professors harassing students against genocide but writing reports on "AI safety" . Concern for the future of humanity indeed!
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AI Safety as Power Centralization: Geopolitical Control Mechanisms
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We've discussed how so-called "AI Safety" is a smoke screen to centralize power & guzzle resources without accountability. See our paper where we also discuss how they use the whole "US has to protect ourselves from China." Predictable, right on cue. https://
firstmonday.org/ojs/index.php/
fm/article/view/13636/11599
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OpenAI’s Hypocrisy: Unauthorized Data Collection Practices Criticized
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One of the few sane outlets… "It is…ironic that OpenAI, a company that has been obtaining large amounts of data from all of humankind…in an “unauthorized manner,”…is now complaining about the…practices by which it…built its company.
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UK Government Releases First International AI Safety Report
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The UK gov't just released the first International AI Safety Report, offering key insights on general-purpose AI to guide informed policymaking. HAI leading scholars @YejinChoinka
, @percyliang
, @MarietjeSchaake
, and @RishiBommasani contributed to the report, which will shape -
Jevons’ Paradox in AI Environmental Debate and Rebound Effects
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🌎Full paper here: "From Efficiency Gains to Rebound Effects: The Problem of Jevons’ Paradox in AI’s Polarized Environmental Debate" arxiv.org/pdf/2501.16548
→ View original post on X — @katecrawford, 2025-01-29 18:22 UTC
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AI Progress Cannot Reduce Climate Impact Without Curbing Consumption
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Conclusion: AI advances can't reduce climate impacts if they fuel exponential consumption
📌 Energy efficiency alone isn't enough
📌 Integrate total lifecycle assessments + socioeconomic analysis for climate interventions
📌 Address AI-driven economic & behavioral shifts [Translated from EN to English]→ View original post on X — @katecrawford, 2025-01-29 18:21 UTC
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AI Environmental Impact Beyond Hardware Efficiency and Emissions
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AI’s impact is shaped by market incentives, regulatory gaps, and social behaviors, not just hardware efficiency. Focusing only on direct emissions ignores system-wide feedback loops that drive AI’s expanding environmental footprint 📈
→ View original post on X — @katecrawford, 2025-01-29 18:21 UTC
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AI Efficiency Paradox: Lower Costs Drive Higher Environmental Costs
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AI follows a similar pattern: ✅ More efficient models → cheaper compute ✅ Cheaper compute → more AI ✅ More AI → more demand for compute, data centers, energy & emissions. Without including second-order effects, the AI industry risks a false sense of sustainability
→ View original post on X — @katecrawford, 2025-01-29 18:21 UTC