Ethical AI and Data Science

Building Trustworthy and Transparent Systems
1. Auflage 2026
ISBN: 978-1-041-11006-4
Verlag: CRC Press

Buch, Englisch, 256 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Data Analytics Applications

As 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. Due 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 contributes answers to 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.

Zielgruppe

Professional Practice & Development and Professional Reference

Autoren/Hrsg.

Merlo, Tereza Raquel

Liebowitz, Jay

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Soziale und ethische Aspekte der EDV
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

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

Über Autor(innen)

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.