Machine Learning for High-Risk Applications: Approaches to Responsible AI
Manage episode 515186680 series 3683458
CyberSecurity Summary에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 CyberSecurity Summary 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.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.
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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
1001 에피소드

 
 
 
 
