请问HN：社会技术压力是选择有益的还是有害的人工智能系统？
我想了解的完整问题如下：
社会技术选择压力是否可靠地倾向于那些 (a) 提高自身未来部署概率的机器学习系统，以及 (b) 重塑机构/数据管道以巩固这种概率，即使没有明确的“生存”目标？
我在这里收集了一些探讨这个问题及相关想法的链接：https://studium.dev/drafts/f1 - 我希望能找到更多的阅读材料。
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The full question I'm wondering about is as follows:<p>Do sociotechnical selection pressures reliably favor ML systems that (a) increase their own future deployment probability and (b) reshape institutions/data pipelines to entrench that probability, even without explicit 'survive' objectives?<p>I've gathered some links exploring this and tangential ideas here: https://studium.dev/drafts/f1 - I'd love to find more reading material