首页|Studies from University of Toronto Further Understanding of Artificial Intellige nce (How Learning About Harms Impacts the Optimal Rate of Artificial Intelligenc e Adoption)
Studies from University of Toronto Further Understanding of Artificial Intellige nce (How Learning About Harms Impacts the Optimal Rate of Artificial Intelligenc e Adoption)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Artificial In telligence have been published. According to newsreporting originating from Tor onto, Canada, by NewsRx editors, the research stated, “This paper examinesrecen t proposals and research suggesting that artificial intelligence (AI) adoption s hould be delayed untilits potential harms are fully understood. Conclusions on the social optimality of delayed AI adoption areshown to be sensitive to assump tions about the process by which regulators learn about the salience ofparticul ar harms.”
TorontoCanadaNorth and Central Ameri caArtificial IntelligenceEmerging TechnologiesMachine LearningUniversity of Toronto
NETL
NSTL
