I am not seeing signs that Copilot has “brought Sydney back” – responses seem pretty normal so far However, I am actually a fan of giving AI more personality. People anthropomorphize anyway, and you might be less trusting of a slightly over-the-top Sydney than an “objective” AI.
ETHICS
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Humanist Liberalism Repositioned as Conservative in Modern Era
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well it's progress; humanist liberalism is now seen as a conservative position
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Autocorrect Obscures Causal Relationships in Language Models
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Autocorrect makes causality seem far too casual.
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Nature Study Warns of Concerning AI Development Implications
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I have some bad news for you. Yes, you. https://
nature.com/articles/s4427
1-024-00062-z.pdf
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Generative AI Governance Strategy: Expert Tips and Practical Approaches
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Do you have a #generativeAI governance strategy in place? 💡
— DataRobot (@DataRobot) 27 février 2024
We sat down with AI leaders Mike Gualtieri, VP & Principal Analyst at @forrester, and Eve Psalti, Senior Director at @Microsoft Azure OpenAI to share practical tips and strategies for creating a well-governed and… pic.twitter.com/6sz4ikAa51Do you have a #generativeAI governance strategy in place? We sat down with AI leaders Mike Gualtieri, VP & Principal Analyst at @forrester
, and Eve Psalti, Senior Director at @Microsoft Azure OpenAI to share practical tips and strategies for creating a well-governed and -
Yoshua’s stance on existential AI risk versus public statements
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Yoshua moved to the left of Sam and Elon now? Or is this just a scale of public statements about conceding the possibility of existential risk, rather than the degree someone is actually worried?
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Foundation Models Release Policy: New Research on Societal Impact
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How should foundation models be released? A new paper adds precision to one of the biggest tech policy debates today. The research – a collaborative effort among 25 scholars across various sectors – examines the societal impact of open foundation models. https://
stanford.io/42Xwm3m -
LLM Explanations: Plausibility Versus Faithfulness Analysis
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Paper on how to think about how LLMs explain their answers as plausible (do they make sense) & faithful (do they accurately represent how the LLM "thought"). For some cases, like the LLM explaining how to calculate 5!, you want plausible but not faithful. https://
arxiv.org/pdf/2402.04614
.pdf
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Legal Responsibility AI Patient Injury Stanford Analysis
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Who is legally responsible when AI causes patient injury? @StanfordHAI faculty affiliate @MichelleM_Mello and graduate fellow @NeelGuha analyze case law and introduce a risk assessment framework in this policy brief: https://
stanford.io/49SFYyV -
LLMs in Medical Assessments: Not Ready for Healthcare Deployment Yet
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Large language models may democratize access to healthcare by providing much-needed information to patients without requiring a physician. But is it ready for prime time? A new study finds that LLMs used for medical assessments have “a long way to go.” https://
stanford.io/4bUwS6G