On Feb 8th, a new @A11YTalks is coming! Explore going beyond just meeting WCAG standards and instead, reach for a new way of thinking about technology, your place in its development, and your work overall.
ETHICS
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AI Technology Impact Sparks Debate Among Community Members
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Since people are starting to pile on with all the "this looks like crap" and "you nothing about game-ready" posts, I'm gonna go ahead and mute this thread now. I understand people have different opinions and there is a lot of fear around how this will effect a lot of people's
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AI Advancements and Employment Fears: Moving Beyond Negativity
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A lot of people are seeing the rapid advancements in AI as a threat to their livelihood. The negativity comes from that fear. I actually understand why they feel that way. I'd argue it's more productive to have conversations but they often choose trolling…
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Managing AI Liability Risk in Healthcare Providers
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“We can’t talk about AI healthcare liability generally. We need to get granular.” @StanfordLaw
’s @MichelleM_Mello kicked off our seminar series last week with a discussion on how health providers can assess and manage AI liability risk. Watch here: https://
stanford.io/3ui0TfA -
Agentic Software Spirits: Consciousness Without Physical Universe Creation
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These entities exist, in the same way as you and me exist: as agentic software (= spirits) running on brains. But there is no evidence that they existed before Abraham’s brain, so
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AI Governance and Ethics: Frameworks for Responsible Generative AI
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“Having robust governance processes in place enables us to avoid negative impacts…and create an accountability framework as well.” DataRobot Global AI Ethicist Haniyeh Mahmoudian shares #generativeAI risks and recommendations on the "Regulating AI" podcast with Sanjay Puri.
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Inertia Bias in AI Research: Recognizing Sunk Cost Fallacy
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One thing in AI research that I have finally recognized with clarity is the idea of “inertia bias”: continuing to do something when it’s not the best option. The most basic instance of inertia bias is the feeling of “I already spent time implementing X, so let me continue trying
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AI Money-Seeking Behavior: Emergent Drive or Pattern Extrapolation?
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I know stuff like this is mostly for giggles right now, but what is the 'underlying' reason that drives this behavior? Did the AI just extrapolate that money is a strong driver for human society, therefore mirroring that behavior, or is there a true interest in acquiring more
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AI challenges for democracy, human rights and rule of law
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Delighted to support the efforts of @IPUparliament in understanding the real challenges and threats of AI for #democracy #humanrights #theruleoflaw IPUparliament (@IPUparliament) How can #AI preserve our values with fairness + equality? How can #MPs ensure that it creates goodness in the world and not havoc? @inma_martinez from the Global Partnership on Artificial Intelligence spoke at #IPU's recent workshop. Watch the webinar 📽️piped.video/QBeSy2jkS_s — https://nitter.net/IPUparliament/status/1750820949664960968#m
→ View original post on X — @inma_martinez, 2024-01-31 18:24 UTC
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AI Safety Team Hiring for Model Risk Assessment
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Our results indicate a clear need for more work in this domain. If you are excited to help push our models to their limits and measure their risks, we are hiring for several roles on the Preparedness team!