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Machine Learning for High-Risk Applications: Approaches to Responsible AI
Manage episode 515186680 series 3683458
תוכן מסופק על ידי CyberSecurity Summary. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי CyberSecurity Summary או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.
A field guide for designing, building, and assessing machine learning and AI systems. The book addresses the risks of AI failures, such as algorithmic discrimination and data privacy violations, which have become more common with wider adoption of ML technologies. It outlines a holistic approach to risk mitigation, combining technical practices, business processes, and cultural capabilities for responsible AI. The text covers topics from legal obligations and organizational competencies to technical debugging methods and strategies for safe deployment of AI systems.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Machine-Learning-High-Risk-Applications-Responsible/dp/1098102436?&linkCode=ll1&tag=cvthunderx-20&linkId=44766864f5269d30ba13ec2c60e8563c&language=en_US&ref_=as_li_ss_tl
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You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cyber_security_summary
Get the Book now from Amazon:
https://www.amazon.com/Machine-Learning-High-Risk-Applications-Responsible/dp/1098102436?&linkCode=ll1&tag=cvthunderx-20&linkId=44766864f5269d30ba13ec2c60e8563c&language=en_US&ref_=as_li_ss_tl
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