Either that, or your prejudice of Meta should be revised.
ETHICS
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Exclusion from AI Safety Summit Second Day Raises Questions
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I wasn't invited to the 2nd day of the AI Safety Summit
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Building Healthy AI Ecosystem: Collective Responsibility Across Sectors
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It takes a healthy ecosystem to build and harness AI; this includes the public sector, private sector, civil society, and every individual. It’s our collective responsibility.
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Racial Disparities in ML Medical Imaging for Dermatology
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Researchers identify new forms of racial disparity in medical imaging for dermatology by analyzing ecosystems of ML models. @StanfordCRFM @RishiBommasani
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AI’s Transformative Power: Ethical Applications for PhD Students
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The episode highlights AI's transformative power in various fields, emphasizing ethical application. I hope it offers valuable insights for students considering a Ph.D. and professionals working with AI models.
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AI for Multiple Sclerosis Diagnosis Using Hospital Data
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In this episode, I talk about the transition from AI enthusiast to YouTube creator and my (previous) PhD work with AI models trained on sensitive hospital data and leveraging AI to diagnose and monitor multiple sclerosis.
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AI Ethics in Healthcare: Balancing Innovation With Patient Welfare
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In our AI Ethics segment with Auxane, we stress the importance of ethics in creating robust AI models. These principles aid in managing complex healthcare situations, safeguarding data, and ensuring patient welfare without sacrificing professional integrity.
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AI Transparency Essential for Effective Regulation Accountability
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In a new @FinancialTimes op-ed, HAI International Policy Fellow @MarietjeSchaake says transparency from AI companies is necessary for effective AI regulation. “Transparency isn’t just an important ideal. It is essential to successful AI accountability.”
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AI Existential Risk: Assessing Extinction Probability in 30 Years
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Yes. It would be crazy not to consider this possibility.
Have you seriously considered the possibility it might wipe us all out and if so what probability do you put on that happening in the next 30 years. If you are really a Bayesian you should be able to give me a probability. -
Open-Source AI as Essential Counterbalance to Proprietary Concentration
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IMO your points apply to non-open-source AI as well at 100x the scale (as proprietary AI is deployed massively) and open-source is the only way to keep non-open-source in check. Without it, you'll have extreme concentration of power/knowledge/secrecy with 1,000x the risk.