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Episode 3: Beyond the algorithm - Digital divide, biases and hidden labour (18 mins)

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内容由Teaching Matters提供。所有播客内容(包括剧集、图形和播客描述)均由 Teaching Matters 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

The third episode of Generative AI podcast series↗️ features Lara Dal Molin, a second year PhD student at the Science, Technology and Innovations studies↗️, The University of Edinburgh. Discussing some of the core issues associated with Generative AI technologies, Lara leaves us with a compelling invitation to ponder how we can guide our students in cultivating a responsible relationship with these technologies.

Timestamps: (1:56) What is the impact of ChatGPT on digital divide? (6:13) What are the skills required for the use of chat GPT? How do you think these skills will impact digital divide? (9:17) What do you think about gender bias within the world of Generative AI? (14:18) How can we benefit from these developments without compromising the safety of the users or data workers?

Transcript of this episode↗️

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Manage episode 383100355 series 3135707
内容由Teaching Matters提供。所有播客内容(包括剧集、图形和播客描述)均由 Teaching Matters 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

The third episode of Generative AI podcast series↗️ features Lara Dal Molin, a second year PhD student at the Science, Technology and Innovations studies↗️, The University of Edinburgh. Discussing some of the core issues associated with Generative AI technologies, Lara leaves us with a compelling invitation to ponder how we can guide our students in cultivating a responsible relationship with these technologies.

Timestamps: (1:56) What is the impact of ChatGPT on digital divide? (6:13) What are the skills required for the use of chat GPT? How do you think these skills will impact digital divide? (9:17) What do you think about gender bias within the world of Generative AI? (14:18) How can we benefit from these developments without compromising the safety of the users or data workers?

Transcript of this episode↗️

  continue reading

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