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Navigating Social Trust in the AI Era - Hardcover

 
9798337370118: Navigating Social Trust in the AI Era

Inhaltsangabe

As artificial intelligence (AI) is integrated in everyday life, from decision-making algorithms in healthcare and finance to generative tools in media and education, the question of social trust emerges. Trust in AI systems extends beyond technical performance, encompassing ethical design, transparency, accountability, and the perceived intentions of those utilizing the technology. In this evolving landscape, individuals and societies must grapple with concerns around data privacy, algorithmic bias, and the erosion of human agency. Navigating social trust in the AI era requires an approach that combines responsible innovation, inclusive governance, and public engagement to ensure AI serves public interest rather than worsening existing inequalities. Navigating Social Trust in the AI Era explores the ethical, legal, and social implications of AI, with an emphasis on privacy issues and regulatory developments. It examines the intersection of new AI technologies, personal data, social trust, and governance structures, while providing both theoretical perspectives and practical examples. This book covers topics such as data science, ethics and law, and accounting and finance, and is a useful resource for sociologists, computer engineers, policymakers, academicians, researchers, and data scientists.

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Über die Autorin bzw. den Autor

Debabrata Samanta works as an Assistant Professor and Program Head, at the Department of Computing and Information Technologies, Rochester Institute of Technology, Kosovo, Europe. He obtained his Ph.D. in Computer Science and Engg. from the National Institute of Technology, Durgapur, India, in SAR Image Processing. He is keenly interested in Interdisciplinary Research and development. He is keenly interested in Interdisciplinary Research and development. He has experience spanning fields of SAR Image Analysis, Video surveillance, a Heuristic algorithm for Image Classification, Deep Learning Framework for Detection and Classification, Blockchain, Statistical Modelling, Wireless Adhoc Networks, and Natural Language Processing. He has successfully completed six Consultancy Projects. Under his guidance, three students have accomplished their Ph.D. degrees successfully. He has received a Travel Grant to speak at conferences, seminars, etc. for two years from July 2019. He is the owner of 22 Patents (4 Design Indian Patents and 2 Australian patents Granted, 16 Indian Patents published) and 2 copyrights. He has authored and co-authored over 223 research papers.

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