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The Exorcism of Emotion in Rational Science (and AI) with Lorraine Daston

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Manage episode 347072407 series 2933689
内容由Dr Kerry McInerney and Dr Eleanor Drage, Dr Kerry McInerney, and Dr Eleanor Drage提供。所有播客内容(包括剧集、图形和播客描述)均由 Dr Kerry McInerney and Dr Eleanor Drage, Dr Kerry McInerney, and Dr Eleanor Drage 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In this episode, the historian of science Lorraine Daston explains why science has long been allergic to emotion, which is seen to be the enemy of truth. Instead, objective reason is science’s virtue. She explores moments where it’s very difficult for scientists not to get personally involved, like when you’re working on your pet hypothesis or theory, which might lead you to select data that confirms your hypothesis, or when you’re confronted with some anomalies in your dataset that threaten a beautiful and otherwise perfect theory. But Lorraine also reminds us that the desire for objectivity can itself be an emotion, as it was when Victorian scientists expressed their heroic masculine self-restraint. She also explains why we should only be using AI for the parts of our world which are actually predictable, and how it’s not just engineers who debug algorithms, now that task is being outsourced to us - the consumers - as we’re the ones who are now forced to flag downstream effects when things go wrong.

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Manage episode 347072407 series 2933689
内容由Dr Kerry McInerney and Dr Eleanor Drage, Dr Kerry McInerney, and Dr Eleanor Drage提供。所有播客内容(包括剧集、图形和播客描述)均由 Dr Kerry McInerney and Dr Eleanor Drage, Dr Kerry McInerney, and Dr Eleanor Drage 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In this episode, the historian of science Lorraine Daston explains why science has long been allergic to emotion, which is seen to be the enemy of truth. Instead, objective reason is science’s virtue. She explores moments where it’s very difficult for scientists not to get personally involved, like when you’re working on your pet hypothesis or theory, which might lead you to select data that confirms your hypothesis, or when you’re confronted with some anomalies in your dataset that threaten a beautiful and otherwise perfect theory. But Lorraine also reminds us that the desire for objectivity can itself be an emotion, as it was when Victorian scientists expressed their heroic masculine self-restraint. She also explains why we should only be using AI for the parts of our world which are actually predictable, and how it’s not just engineers who debug algorithms, now that task is being outsourced to us - the consumers - as we’re the ones who are now forced to flag downstream effects when things go wrong.

  continue reading

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