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AI近年来已经变得普遍，但最先进的方法主要忽略了对AI系统的必要性。相反，AI指南提倡可竞争性（例如由OECD）和对统计决策的监管（例如gdpr）。在这个位置，我们探讨了如何在AI中和AI中实现竞争性。We argue that contestable AI re- quires dynamic (human-machine and/or machine-machine) explainability and decision-making processes, whereby ma- chines can 1. interact with humans and/or other machines to progressively explain their outputs and/or their reasoning as well as assess grounds for contestation provided by these hu- mans and/or other machines, and 2. revise their decision– making processes to redress any issues successfully raised during比赛。鉴于当前的许多AI土地层是针对静态AIS量身定制的，因此可容纳可配合的需求的需求将需要激进的重新思考，我们认为，计算论证理想地适合支持。
可竞争的AI需要计算论证
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