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Trust in Tech, Episode 14: Addressing Systemic Bias in Tech w/ Meredith Broussard

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

Bias exists all around us, and unfortunately it is present in the technologies we use today.

Today we are joined by Professor Meredith Broussard, a data journalism professor at NYU, and research director at the NYU Alliance for Public Interest Technology. She is the author of a new book More Than A Glitch: Confronting Race, gender, and Ability Bias in Tech.

We discuss the root cause of systemic biases in tech and why the current paradigm of establishing and optimizing metrics leads to misaligned incentives in both technology companies and journalism.

Along the way Meredith explains techno-chauvanism, its prevalence and why computer science students are taught to think this way. We also discuss how Mid-Journey maps from text to image, the purpose of science fiction, and how algorithmic audits can help mitigate bias for technology companies.

As a reminder, the views stated in this episode are not affiliated with any organization and only represent the views of the individuals. We hope you enjoy the show.

  continue reading

43集单集

Artwork
icon分享
 
Manage episode 359536007 series 3449584
内容由Integrity Institute提供。所有播客内容(包括剧集、图形和播客描述)均由 Integrity Institute 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

Bias exists all around us, and unfortunately it is present in the technologies we use today.

Today we are joined by Professor Meredith Broussard, a data journalism professor at NYU, and research director at the NYU Alliance for Public Interest Technology. She is the author of a new book More Than A Glitch: Confronting Race, gender, and Ability Bias in Tech.

We discuss the root cause of systemic biases in tech and why the current paradigm of establishing and optimizing metrics leads to misaligned incentives in both technology companies and journalism.

Along the way Meredith explains techno-chauvanism, its prevalence and why computer science students are taught to think this way. We also discuss how Mid-Journey maps from text to image, the purpose of science fiction, and how algorithmic audits can help mitigate bias for technology companies.

As a reminder, the views stated in this episode are not affiliated with any organization and only represent the views of the individuals. We hope you enjoy the show.

  continue reading

43集单集

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