“機器學習泰斗”邁克爾·喬丹：AI發展不能忽視集體性、不確定性和激勵機制
邁克爾·喬丹在2024 Inclusion·外灘大會的主論壇上強調了當前人工智能討論中缺失的三個關鍵點：集體性、不確定性和激勵機制。他指出，人工智能系統需要形成協作集體，引入經濟學的激勵視角來構建協作系統。人工智能在面對不確定性時表現不足，人類在集體協作中應對不確定性的能力值得借鑑。爲了提高人工智能系統的集體協作能力，邁克爾·喬丹建議構建“三層數據市場”模型，通過設計激勵機制驅動數據貢獻和協作。他引用統計契約理論，強調代理人和委託人通過激勵機制形成的數據和服務市場可以維持供需雙方的利益平衡。此外，他強調了數據隱私監管對提高用戶效用的重要性。邁克爾·喬丹認爲，人工智能應以人類福祉爲目標，但其發展不應被未經深思熟慮的舊式願景所扭曲。
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