Ethan Mollick：AI 实验室和政策制定者缺少国家级落地的公益项目
沃顿商学院的 Mollick 说了一件挺实际的事：AI 扶贫、辅导、防诈骗这些国家级项目没人认真做，其实现在的模型就够了。
宾夕法尼亚大学 Ethan Mollick 发文称，AI 实验室、政策制定者和 NGO 都很少推进国家级的近期可落地公益项目。他列出四个方向：课堂辅导、医疗第二意见、金融素养与防诈骗培训、政府服务可及性。Mollick 有约 20 年的辅导和金融扫盲项目经验，认为这些方向用现有 AI 模型即可实现明显收益，只需先做严格的设计和研究验证。
One ongoing frustration is the lack of effort I see being put towards near-term, achievable crash projects to do good with AI at a national scale, whether those efforts are by the AI labs or by policymakers & NGOs.
Some obvious ideas to explore suggested by the data we have so far: universal tutoring to support classroom learning, second opinions on healthcare, financial literacy/scam avoidance, and making government services easy to access.
These are hard problems, and I know because over the past 20 years I have worked extensively on building tutoring and financial literacy programs, which were always limited by existing technology. Now, real gains are likely achievable with AI, which should be a big deal. Yes, you would want to do careful design and studies before rolling things out. And yes, those efforts might fail. But, if done right, national programs could lead to big gains in public good for seemingly intractable problems. And they don't require AIs beyond current models to pull off.
