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محتوای ارائه شده توسط Mimecast. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Mimecast یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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Built-In Bias: Existing Real-World Inequality in AI and Other Technology

34:31
 
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Manage episode 374314623 series 2945506
محتوای ارائه شده توسط Mimecast. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Mimecast یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

In this episode of Phishy Business, we talk about various important discussions around AI, including the concerning issue of built-in bias and stereotypes. Imagine AI thinking that all doctors must be male, and all nurses must be female? Well, according to ChatGPT, they are.

Our special guest is Ivana Bartoletti, Global Privacy Officer at Wipro. Ivana has a human rights background and is an internationally recognized thought leader in privacy, data protection, and responsible technology. She’s a fellow at Virginia Tech, a published author, and the founder of the Women Leading in AI Network. Ivana says that she works at the intersection of technology and law and focuses on privacy advocacy. Ivana concentrates her efforts on the collection of data and how that data is used in technology such as AI.

In ‘Built-In Bias: Existing Real-World Inequality in AI and Other Technology’, we discuss:

  • How Ivana’s book came about, the themes covered, and how much has changed in this space since it was written.
  • Built-in bias in data and AI technology.
  • The protection of democracy and human rights when it comes to data collection, digital privacy, and AI.
  • Having legislation in place for safe adoption of AI.
  • The hype around the dangers of AI.
  • The European Union’s proposed AI regulation and businesses speaking out against the Act.
  • Cybersecurity considerations when it comes to AI.
  • The Women Leading in AI Network – why it was started and its purpose.

  continue reading

65 قسمت

Artwork
iconاشتراک گذاری
 
Manage episode 374314623 series 2945506
محتوای ارائه شده توسط Mimecast. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Mimecast یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

In this episode of Phishy Business, we talk about various important discussions around AI, including the concerning issue of built-in bias and stereotypes. Imagine AI thinking that all doctors must be male, and all nurses must be female? Well, according to ChatGPT, they are.

Our special guest is Ivana Bartoletti, Global Privacy Officer at Wipro. Ivana has a human rights background and is an internationally recognized thought leader in privacy, data protection, and responsible technology. She’s a fellow at Virginia Tech, a published author, and the founder of the Women Leading in AI Network. Ivana says that she works at the intersection of technology and law and focuses on privacy advocacy. Ivana concentrates her efforts on the collection of data and how that data is used in technology such as AI.

In ‘Built-In Bias: Existing Real-World Inequality in AI and Other Technology’, we discuss:

  • How Ivana’s book came about, the themes covered, and how much has changed in this space since it was written.
  • Built-in bias in data and AI technology.
  • The protection of democracy and human rights when it comes to data collection, digital privacy, and AI.
  • Having legislation in place for safe adoption of AI.
  • The hype around the dangers of AI.
  • The European Union’s proposed AI regulation and businesses speaking out against the Act.
  • Cybersecurity considerations when it comes to AI.
  • The Women Leading in AI Network – why it was started and its purpose.

  continue reading

65 قسمت

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