论文标题
AI伦理的盲点：统计预测中的抗差异
A blindspot of AI ethics: anti-fragility in statistical prediction
论文作者
论文摘要
在本文中，我们的目标是将问题置于AI伦理的议程上，我们认为在当前的话语中被忽略了。当前的讨论以这种可信赖性和偏见为主题，而我们喜欢重点的问题与关于可信赖性的辩论背道而驰。我们担心，由短期目标驱动并避免错误的当前主导的AI系统过度使用会导致一个失去其真正进步所需的多样性和灵活性的社会。我们在对抗差异术语一词的论述中的关注，并用一些示例显示了当前用于社会决策姿势的方法。
With this paper, we aim to put an issue on the agenda of AI ethics that in our view is overlooked in the current discourse. The current discussions are dominated by topics suchas trustworthiness and bias, whereas the issue we like to focuson is counter to the debate on trustworthiness. We fear that the overuse of currently dominant AI systems that are driven by short-term objectives and optimized for avoiding error leads to a society that loses its diversity and flexibility needed for true progress. We couch our concerns in the discourse around the term anti-fragility and show with some examples what threats current methods used for decision making pose for society.
