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The previous decade has witnessed the broad adoption of synthetic intelligence and machine studying (AI/ML) applied sciences. Nonetheless, an absence of oversight of their widespread implementation has resulted in some incidents and dangerous outcomes that might have been prevented with correct threat administration. Earlier than we are able to understand AI/ML’s true profit, practitioners should perceive find out how to mitigate its dangers.
This e book describes approaches to accountable AI—a holistic framework for bettering AI/ML expertise, enterprise processes, and cultural competencies that builds on finest practices in threat administration, cybersecurity, knowledge privateness, and utilized social science. Authors Patrick Corridor, James Curtis, and Parul Pandey created this information for knowledge scientists who need to enhance real-world AI/ML system outcomes for organizations, shoppers, and the general public.
Study technical approaches for accountable AI throughout explainability, mannequin validation and debugging, bias administration, knowledge privateness, and ML securityLearn find out how to create a profitable and impactful AI threat administration practiceGet a fundamental information to present requirements, legal guidelines, and assessments for adopting AI applied sciences, together with the brand new NIST AI Threat Administration FrameworkEngage with interactive assets on GitHub and Colab
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Writer : O’Reilly Media
Publication date : Might 23 2023
Version : 1st
Language : English
Print size : 466 pages
ISBN-10 : 1098102436
ISBN-13 : 978-1098102432
Merchandise weight : 1.05 kg
Dimensions : 17.78 x 2.54 x 23.5 cm
Finest Sellers Rank: #1,260,161 in Books (See High 100 in Books) #391 in Pc Programs Evaluation & Design (Books) #446 in Human-Pc Interplay #535 in Software program Info Programs
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