Lazar, SethSethLazarNelson, AlondraAlondraNelson2023-10-282023-10-282023-07-14Lazar, Seth and Alondra Nelson, "AI safety on whose terms?," Science 381,138-138(2023).1095-9203https://hdl.handle.net/20.500.12111/8168Rapid, widespread adoption of the latest large language models has sparked both excitement and concern about advanced artificial intelligence (AI). In response, many are looking to the field of AI safety for answers. Major AI companies are purportedly investing heavily in this young research program, even as they cut “trust and safety” teams addressing harms from current systems. Governments are taking notice too. The United Kingdom just invested £100 million in a new “Foundation Model Taskforce” and plans an AI safety summit this year. And yet, as research priorities are being set, it is already clear that the prevailing technical agenda for AI safety is inadequate to address critical questions. Only a sociotechnical approach can truly limit current and potential dangers of advanced AI.en-USArtificial intelligenceAImachine-intelligentlarge language modelsJournal article10.1126/science.adi8982