| book details |

Ethical AI and Data Science: Building Trustworthy and Transparent Systems

Edited by Tereza Raquel Merlo, Edited by Jay Liebowitz

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| book description |

As artificial intelligence (AI) permeates day-to-day lifeâ€”influencing who is granted what type of healthcare, determining who is granted an employment interview or academic enrollment, or delivering what information to whomâ€”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. A vital and ongoing dialogue surrounding data, accessibility, and the multifaceted challenges posed by AI in ethics, safety, and societal impact, the book features diverse perspectives and practical approaches written by a panel of experts. Highlights of the book include: Ensuring safety in agentic AI through decision traceability Promoting responsible and ethical AI in financial services Bridging human-machine knowledge for responsible AI Responsible agentic AI for effective cybersecurity and ethical safety 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.