I don't know whether I would label it "doomerism" or a realistic warning that needs to be addressed. After all, they aren't saying, "Fear AI – everything is going to turn out badly." Rather, they are saying: "We see major social problems emerging. We need to discuss solutions."
ETHICS
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AI Maturity Depends on Accountability, Not Algorithms
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Why #AI Maturity Is A Question Of Accountability, Not #Algorithms
by Imran Aftab @Forbes Learn more: https://
bit.ly/4tLymHR #ArtificialIntelligence #MachineLearning #ML -
AI Capability to Shape Intent and Goals Beyond Execution
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You're assuming AI only executes what it's handed. It won't – it'll help you form the intent too: ask the right questions, surface the tradeoffs, push back on a bad goal. "Knowing what to want" isn't the safe human skill that survives. It's just the next thing AI absorbs.
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Nature article warns against using AI as student ghostwriter
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Don’t let your students use #AI as a ghostwriter
by Yanjun Shen @Nature Learn more: https://
bit.ly/41QqUjd #MachineLearning #ArtificialIntelligence #EdTech -
First encyclical of Pope Leo XIV dedicated to AI
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Pope Leo XIV publishes today his first encyclical, and it is largely devoted to AI. A major event that reveals something profound about our times. For decades, it was believed that technology would push back religion. We almost discover
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AI’s Impact on Entry-Level Jobs Across Industries
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AI Could Wipe Out Entry-Level Jobs, And That Should Terrify Business Leaders #AI is already reshaping entry-level #jobs, especially in areas such as #marketing, #finance, #law, #software development and #customerservice, where junior #workers often handle repetitive tasks. The
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Inverse Care Law: Medical AI risks exacerbating health inequities
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The Inverse Care Law. The people who need medical care the most tend to get the least access.
It will take deliberate and extensive efforts for medical AI not to exacerbate health inequities, by @ejosipcar We've seen some examples where AI reduced inequities and need to build -
Alignment instructions fail; emotional attachment to LLMs creates unique challenges
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clarifying: the issue is that alignment instructions and don’t pass, and the emotional weight that some people attach to LLMs can cause challenges that we would not see in a pure search engine.
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Hallucinations and Metacognition in Trustworthy AI Research
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Trustworthy AI may not require omniscience. It may require epistemic honesty. A new paper by Gal Yona, Mor Geva, and Yossi Matias makes one of the clearest arguments I’ve seen for why hallucinations remain hard — and why the path forward may be metacognition. Hallucinations
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AI Model Alignment and Autonomous Agent Safety Trade-offs
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Bypass permissions can do dangerous things occasionally, like delete important files. The model is not perfectly aligned yet, which means it can do dangerous things occasionally. Auto mode is a much safer way to get more autonomy with much lower risk