“机器学习泰斗”迈克尔·乔丹：AI发展不能忽视集体性、不确定性和激励机制
迈克尔·乔丹在2024 Inclusion·外滩大会的主论坛上强调了当前人工智能讨论中缺失的三个关键点：集体性、不确定性和激励机制。他指出，人工智能系统需要形成协作集体，引入经济学的激励视角来构建协作系统。人工智能在面对不确定性时表现不足，人类在集体协作中应对不确定性的能力值得借鉴。为了提高人工智能系统的集体协作能力，迈克尔·乔丹建议构建“三层数据市场”模型，通过设计激励机制驱动数据贡献和协作。他引用统计契约理论，强调代理人和委托人通过激励机制形成的数据和服务市场可以维持供需双方的利益平衡。此外，他强调了数据隐私监管对提高用户效用的重要性。迈克尔·乔丹认为，人工智能应以人类福祉为目标，但其发展不应被未经深思熟虑的旧式愿景所扭曲。
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