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Ethical AI and Data Science

Tereza Raquel Merlo
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      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 farreaching 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 traceabilityPromoting responsible and ethical AI in financial servicesBridging human-machine knowledge for responsible AIResponsible agentic AI for effective cybersecurity and ethical safetyThe 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.

      Format: Paperback / softback CONTRIBUTORS: Tereza Raquel Merlo EAN: 9781041110064 COUNTRY: United Kingdom PAGES: 206 WEIGHT: HEIGHT: 234 mm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2026-04-16 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / General, COMPUTERS / Social Aspects WIDTH: 156 mm SPINE:

      Book Themes:

      Engineering: general, Ergonomics, Electrical engineering, Electronics engineering, Digital and information technologies: Legal aspects, Data mining, Artificial intelligence

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      Dr. Tereza Raquel Merlo is a researcher, professor, practitioner, and consultant. Dr Merlo is a postdoctoral researcher at the Federal University of Rio de Janeiro (UFRJ), program affiliated with the Brazilian Institute of Information in Science and Technology (IBICT). At the University of North Texas (UNT) she instructs in the Information Sciences. Dr. Merlo is also the CEO of Merlo Management Consulting, where she delivers global business solutions focusing on business processes improvement through data analysis and knowledge management systems.Her research focuses on Knowledge Management Systems and AI’s impact on business performance, strategy, and operations. Her interests include AI-driven business strategies, process optimization, and leadership. She actively contributes to scientific committees for journals and serves on the international advisory board of the International Conference on Knowledge Management (ICKM), having chaired several of its annual conferences. Most recently, invited to be part of the scientific committee for the Glossary of Innovation, Organizational Knowledge, and Scientific and Technological Information by the Brazilian Institute of Information in Science and Technology (IBICT).Dr. Jay Liebowitz is the Professor of Business Innovation and Industry Transformation and Director of a new AI-EDGE Center in the Crummer Graduate School of Business at Rollins College, as of August 2024. He has recently served as the inaugural Executive-in-Residence for Public Service at Columbia University’s Data Science Institute. He was previously a Visiting Professor in the Stillman School of Business and the MS-Business Analytics Capstone & Co-Program Director (External Relations) at Seton Hall University. He previously served as the Distinguished Chair of Applied Business and Finance at Harrisburg University of Science and Technology. Before HU, he was the Orkand Endowed Chair of Management and Technology in the Graduate School at the University of Maryland University College (UMUC). He served as a Full Professor in the Carey Business School at Johns Hopkins University. He was ranked one of the top 10 knowledge management researchers/practitioners out of 11,000 worldwide, and was ranked #2 in KM Strategy worldwide according to the January 2010 Journal of Knowledge Management. At Johns Hopkins University, he was the founding Program Director for the Graduate Certificate in Competitive Intelligence and the Capstone Director of the MS-Information and Telecommunications Systems for Business Program, where he engaged over 30 organizations in industry, government, and not-for-profits in capstone projects.Prior to joining Hopkins, Dr. Liebowitz was the first Knowledge Management Officer at NASA Goddard Space Flight Center. Before NASA, Dr. Liebowitz was the Robert W. Deutsch Distinguished Professor of Information Systems at the University of Maryland-Baltimore County, Professor of Management Science at George Washington University, and Chair

      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 farreaching 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 traceabilityPromoting responsible and ethical AI in financial servicesBridging human-machine knowledge for responsible AIResponsible agentic AI for effective cybersecurity and ethical safetyThe 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.

      Format: Paperback / softback CONTRIBUTORS: Tereza Raquel Merlo EAN: 9781041110064 COUNTRY: United Kingdom PAGES: 206 WEIGHT: HEIGHT: 234 mm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2026-04-16 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / General, COMPUTERS / Social Aspects WIDTH: 156 mm SPINE:

      Book Themes:

      Engineering: general, Ergonomics, Electrical engineering, Electronics engineering, Digital and information technologies: Legal aspects, Data mining, Artificial intelligence

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      Dr. Tereza Raquel Merlo is a researcher, professor, practitioner, and consultant. Dr Merlo is a postdoctoral researcher at the Federal University of Rio de Janeiro (UFRJ), program affiliated with the Brazilian Institute of Information in Science and Technology (IBICT). At the University of North Texas (UNT) she instructs in the Information Sciences. Dr. Merlo is also the CEO of Merlo Management Consulting, where she delivers global business solutions focusing on business processes improvement through data analysis and knowledge management systems.Her research focuses on Knowledge Management Systems and AI’s impact on business performance, strategy, and operations. Her interests include AI-driven business strategies, process optimization, and leadership. She actively contributes to scientific committees for journals and serves on the international advisory board of the International Conference on Knowledge Management (ICKM), having chaired several of its annual conferences. Most recently, invited to be part of the scientific committee for the Glossary of Innovation, Organizational Knowledge, and Scientific and Technological Information by the Brazilian Institute of Information in Science and Technology (IBICT).Dr. Jay Liebowitz is the Professor of Business Innovation and Industry Transformation and Director of a new AI-EDGE Center in the Crummer Graduate School of Business at Rollins College, as of August 2024. He has recently served as the inaugural Executive-in-Residence for Public Service at Columbia University’s Data Science Institute. He was previously a Visiting Professor in the Stillman School of Business and the MS-Business Analytics Capstone & Co-Program Director (External Relations) at Seton Hall University. He previously served as the Distinguished Chair of Applied Business and Finance at Harrisburg University of Science and Technology. Before HU, he was the Orkand Endowed Chair of Management and Technology in the Graduate School at the University of Maryland University College (UMUC). He served as a Full Professor in the Carey Business School at Johns Hopkins University. He was ranked one of the top 10 knowledge management researchers/practitioners out of 11,000 worldwide, and was ranked #2 in KM Strategy worldwide according to the January 2010 Journal of Knowledge Management. At Johns Hopkins University, he was the founding Program Director for the Graduate Certificate in Competitive Intelligence and the Capstone Director of the MS-Information and Telecommunications Systems for Business Program, where he engaged over 30 organizations in industry, government, and not-for-profits in capstone projects.Prior to joining Hopkins, Dr. Liebowitz was the first Knowledge Management Officer at NASA Goddard Space Flight Center. Before NASA, Dr. Liebowitz was the Robert W. Deutsch Distinguished Professor of Information Systems at the University of Maryland-Baltimore County, Professor of Management Science at George Washington University, and Chair

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