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AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence (AI) systems. It encompasses machine ethics and AI alignment, which aim to ensure AI systems are moral and beneficial, as well as monitoring AI systems for risks and enhancing their reliability.
A new report graded companies including Meta, Anthropic, and OpenAI on their AI safety measures. Many were found lacking.
Zvi Mowshowitz, a former startup founder who writes frequently about AI safety, pointed out in a blog post that OpenAI has admitted that the system card for o1 doesn’t actually reflect the ...
AI alignment is a subfield of AI safety, the study of how to build safe AI systems. [22] Other subfields of AI safety include robustness, monitoring, and capability control . [ 23 ] Research challenges in alignment include instilling complex values in AI, developing honest AI, scalable oversight, auditing and interpreting AI models, and ...
AI and AI ethics researchers Timnit Gebru, Emily M. Bender, Margaret Mitchell, and Angelina McMillan-Major have argued that discussion of existential risk distracts from the immediate, ongoing harms from AI taking place today, such as data theft, worker exploitation, bias, and concentration of power. [137]
32% trust it to keep bank account information safe. 31% trust it to provide retirement planning services. Artificial intelligence can be useful in payment processing — at least for merchants and ...
A Cosmist, according to Hugo de Garis, is actually seeking to build more intelligent successors to the human species. Experts at the University of Cambridge have argued that AI is portrayed in fiction and nonfiction overwhelmingly as racially White, in ways that distort perceptions of its risks and benefits. [190]
Last week, California’s legislature passed a bill banning deepfakes, citing concerns over how AI tools are increasingly being used to trick voters, among other crimes. I say, good luck with that
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