Bob

Artificial Intelligence Governance and Data Protection for Building Trustworthy and Accountable Systems

Uzair Aslam BhattiHainan University, ChinaYonis GulzarDepartment of Management Information Systems, College of Business Administration, King Faisal University, Saudi ArabiaYazeed Yasin GhadiDepartment of Computer Science and Software Engineering, Al Ain University, Al Ain, UAEB.R. AnnazarovaDepartment of General Science, Mamun University, Khiva, UzbekistanAbrayev BaxromDepartment of Information Technology and Exact Sciences, Termez University of Economics and Service, Termez, UzbekistanYuldosheva ShokhistaDepartment of Philosophy, Tashkent State University of Economics, Tashkent, UzbekistanKhayrulla UrozboevDepartment of International Scientific Journals and Ratings, Alfraganus University, Tashkent, UzbekistanOdilbek KosimovDepartment of Information Technology and Exact Sciences, Termez University of Economics and Service, Termez, Uzbekistan

2026

ABI

Annotatsiya

Artificial intelligence (AI) is transforming industries, public services, and decision-making processes, creating new opportunities while raising concerns about privacy, security, transparency, and accountability. Effective AI governance and data protection frameworks are essential for ensuring that AI systems operate ethically, fairly, and in compliance with legal and regulatory requirements. This chapter explores key principles of trustworthy AI, including transparency, explainability, accountability, data privacy, and risk management. It examines governance strategies, regulatory approaches, and technological safeguards that support responsible AI deployment. The discussion highlights the importance of balancing innovation with user rights, public trust, and long-term societal well-being.

Hali tarjima qilinmagan

Identifikatorlar

DOI: 10.4018/979-8-2600-0512-5.ch012

Iqtiboslar va manbalar

0 ta iqtibos14 ta foydalanilgan manba