3 Matching Annotations
  1. Last 7 days
    1. Around the world, AI systems are being deployed at scale with remarkably little institutional oversight. There is no AI safety board. The US Federal Trade Commission has jurisdiction over unfair practices but limited authority over algorithmic design. The National Institute of Standards and Technology publishes guidance that most companies ignore. The EU AI Act is partially in force but addresses only a sliver of the deployment surface.

      This regulatory landscape summary is unusually blunt for MIT Technology Review: four specific institutions listed, four specific ways each falls short. The cumulative picture is that the entire institutional stack — domestic regulators, international standards bodies, supranational legislation — is structurally inadequate to the speed and scope of AI deployment. This is the governance gap that makes the shareholder argument necessary.

  2. Apr 2026
    1. We have not really begun to make this progress with AI. Why, for example, is this dashboard not found on a government website?

      大多数人认为AI发展主要由私营部门推动,政府只是事后监管。作者质疑为什么政府没有像应对疫情一样建立AI监测和应对系统,这一观点挑战了当前AI治理模式的主流认知,暗示我们需要更系统化的公共AI管理框架。

    1. To accept the existential stakes of that prospect while simultaneously treating the next frontier of superweapon proliferation as an ordinary issue of private property betrays a deep confusion about the problem that this moment presents.

      这句话尖锐地指出了当前政策制定中的矛盾:一方面承认AI可能带来的生存风险,另一方面却将其视为普通财产问题。这种不一致性反映了我们对新兴技术威胁的理解与应对措施之间的脱节,暗示需要全新的治理框架。