Ethical AI and Data Science: Building Trustworthy and Transparent Systems: Data Analytics Applications
Editat de Tereza Raquel Merlo, Jay Liebowitzen Limba Engleză Paperback – 16 apr 2026
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
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 304.03 lei Precomandă | |
| CRC Press – 16 apr 2026 | 304.03 lei Precomandă | |
| Hardback (1) | 908.34 lei Precomandă | |
| CRC Press – 16 apr 2026 | 908.34 lei Precomandă |
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Specificații
ISBN-13: 9781041110064
ISBN-10: 1041110065
Pagini: 232
Ilustrații: 38
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: CRC Press
Colecția Auerbach Publications
Seria Data Analytics Applications
ISBN-10: 1041110065
Pagini: 232
Ilustrații: 38
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: CRC Press
Colecția Auerbach Publications
Seria Data Analytics Applications
Public țintă
Professional Practice & Development and Professional ReferenceNotă biografică
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 of Artificial Intelligence at the U.S. Army War College.
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 of Artificial Intelligence at the U.S. Army War College.
Cuprins
1. Transparent by Design: Ensuring Safety in Agentic AI Through Decision Traceability 2. AI Transparency 3. Foundation of Trustworthy AI 4. AI Ethics in STEM Education: Promoting Student Awareness Through a Reflective-Collaborative Approach 5. Navigating the AI Epoch: A Critical Examination of Student Voice and Agency Through the Lens of Foucault and Freire 6. Beyond the Standard Prompt: The Duality of Generative AI Between Reproduction and Emancipation from a Freirean Perspective 7. Responsible AI/AI Ethics as Related to Financial Services Which Would Interest the Readership. 8. Intelligent Digital Twins and Ethical Decision-Making Support 9. Assessing AI Algorithms 10. Bridging Human-Machine Knowledge for Responsible AI 11. Generative AI, Emerging Technology, and Political Communication: Examples, Methods of Study, and Implications for Democracy 12. Responsible Agentic AI for Effective Cyber-Defense and Ethical Safety
Descriere
This book offers a balanced approach to understanding the complex ethical dilemmas, regulatory frameworks, and practical solutions for responsible AI deployment. It equips industry professionals, researchers, and policymakers with tools to develop and implement AI systems that are ethical, transparent, and safe.