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Corporate governance of AI doesn\\u2019t sound like a sexy topic, but it\\u2019s rapidly becoming one of the most important challenges for big companies that rely on machine learning models to deliver value for their customers. More and more, they\\u2019re expected to develop and implement governance strategies to reduce the incidence of bias, and increase the transparency of their AI systems and development processes. Those expectations have historically come from consumers, but governments are starting impose hard requirements, too.

So for today\\u2019s episode, I spoke to Anthony Habayeb, founder and CEO of Monitaur, a startup focused on helping businesses anticipate and comply with new and upcoming AI regulations and governance requirements. Anthony\\u2019s been watching the world of AI regulation very closely over the last several years, and was kind enough to share his insights on the current state of play and future direction of the field.

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Intro music:

\\u279e Artist: Ron Gelinas

\\u279e Track Title: Daybreak Chill Blend (original mix)

\\u279e Link to Track: https://youtu.be/d8Y2sKIgFWc

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Chapters:

- 0:00 Intro

- 1:45 Anthony\\u2019s background

- 6:20 Philosophies surrounding regulation

- 14:50 The role of governments

- 17:30 Understanding fairness

- 25:35 AI\\u2019s PR problem

- 35:20 Governments\\u2019 regulation

- 42:25 Useful techniques for data science teams

- 46:10 Future of AI governance

- 49:20 Wrap-up