Ethical AI and Data Science by Tereza Raquel Merlo (.ePUB)+
File Size: 11.9 MB
Ethical AI and Data Science: Building Trustworthy and Transparent Systems (Data Analytics Applications) by Tereza Raquel Merlo, Jay Liebowitz
Requirements: .ePUB, .PDF reader, 11.9 MB | True PDF, True EPUB
Overview: As Artificial Intelligence (AI) permeates day-to-day life—influencing who is granted what type of healthcare, determining who is granted an employment interview or academic enrollment, or delivering what information to whom—it frames individuals and society. AI has far-reaching powers to improve lives, but it is not without risks. Owing to its limitations, AI may prevent a person from receiving needed healthcare, block a deserving candidate from employment, or present fake and inaccurate information. How to trust that AI systems will improve lives and not create greater inequality and strife? How to foster the benefits of AI and mitigate the harms from AI? Ethical AI and Data Science: Building Trustworthy and Transparent Systems answers these questions. The book offers valuable insights into navigating the complexities of developing AI systems that are not only innovative but also transparent, equitable, and secure. This volume aims to advance understanding and foster collaboration among researchers, practitioners, and policymakers, helping to shape AI technologies that responsibly serve society while addressing critical concerns around fairness, accountability, and human well-being.
Genre: Non-Fiction > Tech & Devices
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