With Determann's Field Guide to Artificial Intelligence Law, readers can navigate a complex field traversing new technologies, business models, risks, rights, and legal issues. The author presents practical recommendations in a user-friendly and accessible format, designed to help organizations build and maintain their AI compliance and risk mitigation programs. A leading voice on data and technology law, Lothar Determann discusses existing and new laws pertaining to AI around the world and examines distinct advantages of different governance models.Key Features:Roadmap on how to identify, prioritize, and address risks and compliance obligationsChecklists, action items, and sample protocolsA-to-Z list of risks and mitigation measuresExamples of jurisdiction-specific legal requirementsGuidance on governance and accountability mechanismsPractitioners in corporate legal departments and private practice, compliance officers, programmers, privacy officers, data scientists, human resources (HR) specialists, and other professionals who must address AI and related legal compliance issues will find the guidance on risk assessments and mitigation, data law compliance, intellectual property, and other AI-related topics a vital resource.

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Bibliographic Details

Title: Determann's Field Guide to Artificial Intelligence Law
Publisher: Edward Elgar Publishing Ltd, GB
Publication Date: 2024
Language: English
ISBN 10: 1035331004
ISBN 13: 9781035331000
Binding: Paperback
Condition: New

About this title

Synopsis

With Determann’s Field Guide to Artificial Intelligence Law, readers can navigate a complex field traversing new technologies, business models, risks, rights, and legal issues. The author presents practical recommendations in a user-friendly and accessible format, designed to help organizations build and maintain their AI compliance and risk mitigation programs. A leading voice on data and technology law, Lothar Determann discusses existing and new laws pertaining to AI around the world and examines distinct advantages of different governance models.

Key Features:

Roadmap on how to identify, prioritize, and address risks and compliance obligations
Checklists, action items, and sample protocols
A-to-Z list of risks and mitigation measures
Examples of jurisdiction-specific legal requirements
Guidance on governance and accountability mechanisms
Practitioners in corporate legal departments and private practice, compliance officers, programmers, privacy officers, data scientists, human resources (HR) specialists, and other professionals who must address AI and related legal compliance issues will find the guidance on risk assessments and mitigation, data law compliance, intellectual property, and other AI-related topics a vital resource.

About the Author

Lothar Determann, Baker & McKenzie LLP, Palo Alto, USA; Freie Universit�t Berlin, Germany; University of California, Berkeley School of Law, USA

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