AI Safety and Preventing Harm in AI Systems - Tapa blanda

 
9798337369365: AI Safety and Preventing Harm in AI Systems

Sinopsis

As AI systems become increasingly embedded in all facets of society from healthcare and finance to transportation and public services, ensuring their safe and responsible operation has never been greater. AI safety and harm prevention encompass the principles designed to keep intelligent systems aligned with human values, resilient to misuse, and robust against failure. By proactively addressing risks such as biased outputs, security vulnerabilities, and unintended societal impacts, organizations can cultivate AI systems that are not only powerful and efficient but also trustworthy and protective of the people they are built to serve. AI Safety and Preventing Harm in AI Systems explores AI risks and trustworthiness, covering governance dimensions. This book examines the validity and security of AI systems while also addressing accountability and fairness of these systems. Covering topics such as AI systems, ethics, and AI safety, this book is an excellent resource for AI researchers, cybersecurity experts, ethicists, policymakers, industry practitioners, and graduate students.

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Acerca del autor

Rahul K. Patel is a cybersecurity and information systems management expert with over 25 years of experience in high-tech, banking, and government sectors. An Adjunct Industry Associate Professor at the Illinois Institute of Technology, he is the author of AI Frameworks and Tools for Software Development and Essential Information Systems Service Management, and has published widely on AI applications, digital literacy, blockchain security, and privacy-preserving architectures. Dr. Patel holds a PhD in Management of Information Systems from Northcentral University and multiple professional cybersecurity certifications.

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