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'Liability for AI Training Data': CIPIL Seminar (audio)

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Manage episode 455277240 series 3623930
内容由Faculty of Law, University of Cambridge, Faculty of Law, and University of Cambridge提供。所有播客内容(包括剧集、图形和播客描述)均由 Faculty of Law, University of Cambridge, Faculty of Law, and University of Cambridge 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
Speaker: Professor Herbert Zech, Humboldt University, Berlin Biography: Professor Dr. Herbert Zech is Chair of Civil Law, Technology Law and IT Law at Humboldt University, Berlin and Director at the Weizenbaum Institute for the Networked Society. Abstract: In the discussion about the regulation of artificial intelligence (AI) on the one hand and access to data for training purposes on the other hand, one aspect has so far been neglected: the liability of data providers. AI training data have a different damage potential than data that are only used in "conventional" big data analyses. This raises the question of how existing liability rules apply and whether these rules should be changed. From a regulatory point of view, the parallel between intellectual property protection and civil liability should also be considered. This entry provides an audio source for iTunes. For more information see: https://www.cipil.law.cam.ac.uk/seminars-and-events/cipil-seminars
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Manage episode 455277240 series 3623930
内容由Faculty of Law, University of Cambridge, Faculty of Law, and University of Cambridge提供。所有播客内容(包括剧集、图形和播客描述)均由 Faculty of Law, University of Cambridge, Faculty of Law, and University of Cambridge 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
Speaker: Professor Herbert Zech, Humboldt University, Berlin Biography: Professor Dr. Herbert Zech is Chair of Civil Law, Technology Law and IT Law at Humboldt University, Berlin and Director at the Weizenbaum Institute for the Networked Society. Abstract: In the discussion about the regulation of artificial intelligence (AI) on the one hand and access to data for training purposes on the other hand, one aspect has so far been neglected: the liability of data providers. AI training data have a different damage potential than data that are only used in "conventional" big data analyses. This raises the question of how existing liability rules apply and whether these rules should be changed. From a regulatory point of view, the parallel between intellectual property protection and civil liability should also be considered. This entry provides an audio source for iTunes. For more information see: https://www.cipil.law.cam.ac.uk/seminars-and-events/cipil-seminars
  continue reading

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