The Fragmented Podcast is the leading Android developer podcast started by Kaushik Gopal & Donn Felker. Our goal is to help you become a better Android Developer through conversation & to capture the zeitgeist of Android development. We chat about topics such as Testing, Dependency Injection, Patterns and Practices, useful libraries, and much more. We will also be interviewing some of the top developers out there. Subscribe now and join us on the journey of becoming a better Android Developer.
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381 – No Script Show, Episode 13 – What is the W3C doing about AI?
Manage episode 429498976 series 1314435
内容由Nathan Wrigley提供。所有播客内容(包括剧集、图形和播客描述)均由 Nathan Wrigley 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 of the WP Builds Podcast, Nathan Wrigley and David Waumsley discuss the significant and evolving role of AI on the web, focusing on the World Wide Web Consortium’s (W3C) new report titled "AI and the Web, Understanding and Managing the Impact of Machine Learning Models on the Web". The episode delves into AI's dual challenges: data quality and environmental impact. We explore ethical and societal implications, such as privacy, transparency, and the potential for AI to undermine human creativity and entry-level jobs. We also address the importance of standards, regulatory frameworks, and Tim Berners-Lee's optimistic vision of AI, emphasising the need for collaborative and ethical AI development. Go listen...
…
continue reading
967集单集
Manage episode 429498976 series 1314435
内容由Nathan Wrigley提供。所有播客内容(包括剧集、图形和播客描述)均由 Nathan Wrigley 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 of the WP Builds Podcast, Nathan Wrigley and David Waumsley discuss the significant and evolving role of AI on the web, focusing on the World Wide Web Consortium’s (W3C) new report titled "AI and the Web, Understanding and Managing the Impact of Machine Learning Models on the Web". The episode delves into AI's dual challenges: data quality and environmental impact. We explore ethical and societal implications, such as privacy, transparency, and the potential for AI to undermine human creativity and entry-level jobs. We also address the importance of standards, regulatory frameworks, and Tim Berners-Lee's optimistic vision of AI, emphasising the need for collaborative and ethical AI development. Go listen...
…
continue reading
967集单集
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