AI safety on whose terms?
成果类型：
Editorial Material
署名作者：
Lazar, Seth; Nelson, Alondra
署名单位：
Australian National University; Institute for Advanced Study - USA
刊物名称：
SCIENCE
ISSN/ISSBN：
0036-14093
DOI：
10.1126/science.adi8982
发表日期：
2023-07-14
页码：
138-138
关键词：
摘要：
Rapid, 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 pound 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.