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You're reading from  The AI Product Manager's Handbook

Product typeBook
Published inFeb 2023
Reading LevelIntermediate
PublisherPackt
ISBN-139781804612934
Edition1st Edition
Languages
Python
Concepts
Artificial Intelligence
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Author (1)
Irene Bratsis
Irene Bratsis
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Irene Bratsis

Irene Bratsis is a director of digital product and data at the International WELL Building Institute (IWBI). She has a bachelor's in economics, and after completing various MOOCs in data science and big data analytics, she completed a data science program with Thinkful. Before joining IWBI, Irene worked as an operations analyst at Tesla, a data scientist at Gesture, a data product manager at Beekin, and head of product at Tenacity. Irene volunteers as NYC chapter co-lead for Women in Data, has coordinated various AI accelerators, moderated countless events with a speaker series with Women in AI called WaiTalk, and runs a monthly book club focused on data and AI books.
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Additional resources

Reading about and familiarizing ourselves with AI ethics is important for everyone because AI is becoming increasingly impossible to avoid in our day-to-day lives. Additionally, if you actively work in the field of AI/ML as a data scientist, developer, engineer, product manager, or leader, it’s doubly important that you’re aware of the potential risks AI poses and how to build AI responsibly.

For further reading on ethical AI principles, we recommend the following reputable publications:

  • Blueprint for An AI Bill of Rights: https://www.whitehouse.gov/ostp/ai-bill-of-rights/
  • DoD Joint Artificial Intelligence Center Ethical Principles for AI: https://www.defense.gov/News/Releases/Release/Article/2091996/dod-adopts-ethical-principles-for-artificial-intelligence/
  • National AI Initiative Office on Advancing Trustworthy AI: https://www.ai.gov/strategic-pillars/advancing-trustworthy-ai/
  • Algorithmic Justice League: https://www.ajl.org...
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The AI Product Manager's Handbook
Published in: Feb 2023Publisher: PacktISBN-13: 9781804612934
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Irene Bratsis

Irene Bratsis is a director of digital product and data at the International WELL Building Institute (IWBI). She has a bachelor's in economics, and after completing various MOOCs in data science and big data analytics, she completed a data science program with Thinkful. Before joining IWBI, Irene worked as an operations analyst at Tesla, a data scientist at Gesture, a data product manager at Beekin, and head of product at Tenacity. Irene volunteers as NYC chapter co-lead for Women in Data, has coordinated various AI accelerators, moderated countless events with a speaker series with Women in AI called WaiTalk, and runs a monthly book club focused on data and AI books.
Read more about Irene Bratsis

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