A Compendium of Responsible Artificial Intelligence (eBook, ePUB)
Redaktion: Kumar Jain, Deepak; Dhiman, Gaurav; Garg, Deepak; Bhatele, Kirti Raj
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A Compendium of Responsible Artificial Intelligence (eBook, ePUB)
Redaktion: Kumar Jain, Deepak; Dhiman, Gaurav; Garg, Deepak; Bhatele, Kirti Raj
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The book puts key issues such as bias, transparency, accountability and privacy at center stage. From computer science through law and ethics into policy, it lays down the roadmap on which developers, data scientists, and policymakers could bring AI technologies properly attuned to societal values.
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The book puts key issues such as bias, transparency, accountability and privacy at center stage. From computer science through law and ethics into policy, it lays down the roadmap on which developers, data scientists, and policymakers could bring AI technologies properly attuned to societal values.
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Produktdetails
- Produktdetails
- Verlag: Taylor & Francis eBooks
- Erscheinungstermin: 15. Juli 2025
- Englisch
- ISBN-13: 9781040423103
- Artikelnr.: 74226195
- Verlag: Taylor & Francis eBooks
- Erscheinungstermin: 15. Juli 2025
- Englisch
- ISBN-13: 9781040423103
- Artikelnr.: 74226195
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Dr. Deepak Kumar Jain is an Associate Professor and Senior research scientist in the Dalian University of Technology, India. He has a Ph.D. degree in pattern recognition and intelligent system from the Institute of Automation, University of Chinese Academy of Sciences, Beijing, China, in 2018. He obtained a Bachelor of Engineering with Honors from Rajiv Gandhi Proudyogiki Vishwavidyala, Bhopal, India and M. Tech in Electronics and Communication with specialization in Image processing and Computer Vision from Jaypee University of Engineering and Technology, Guna, India in 2010 and 2012 respectively . Before his Ph.D. from the University of Chinese Academy of Sciences, Beijing, China, he worked as a Senior Project Fellow at Central Electronics Engineering Research Institute (CSIR-CEERI) and a constituent laboratory of Council of Scientific and Industrial Research (CSIR), funded by Ministry of Science and Technology, India. He has worked in the area of Pattern Recognition and Computer Vision at Institute of Automation, Chinese Academy of Sciences, Beijing, China. He was an awardee of Prestigious CAS-TWAS Presidential Fellowship (2014-2018) for his Ph.D programme. In 2018, he was invited as a "foreign Expert" by Shandong Taian Administration of Foreign Affairs. His research work is based on analysing human facial emotions which is useful in studying human brain and social communication as well as in the design of computer systems that can communicate with humans and researchers. In 2019, he was invited as a High Expert Talent Shandong Liaocheng Administration of Foreign Affairs. Based on his research work he has published his work in peer reviewed journals and conference proceedings. He is an Adjunct Professor with the Symbiosis Institute of Technology Symbiosis International University Pune, India. His research interests include deep learning, machine learning, pattern recognition, and computer vision. Dr. Kirti Raj Bhatele is an Assistant Professor in the Department of CSE in RJIT, Border security Force Academy, Tekanpur, Gwalior, MP, India. He has about 9 years of teaching and research experience. He has published many research papers in high impact factor peer reviewed journals and conference proceedings. He has also published twelve book chapters. He has received three Government research fellowships from the Madhya Pradesh Council of Science and Technology, Bhopal, MP, India. His research interest lies in Image Processing, Medical Image Processing, Machine learning and Cyber security etc. Dr. Deepak Garg is a committed Academician with over 18 years of experience at leading academic institution. He has an experience in automating and implementing the technology solution on a larger scale in education sector. He also has an extensive experience in designing curriculum, developing education pedagogy and managing industry-institute interaction. Dr. Gaurav Dhiman is a highly accomplished academician and researcher with an impressive track record of excellence in computer science. He holds a Ph.D. in Computer Engineering from Thapar Institute of Engineering & Technology, Patiala, and has also completed his Master Degree of Computer Applications from the same institute. Currently, he is an Assistant Professor in the School of Sciences and Emerging Technologies, Jagat Guru Nanak Dev Punjab State Open University, Patiala. His research has been recognized at the highest level, as he has been named one of the world's top researchers by Stanford University, USA list of world's top 2% scientists. He is a senior member of IEEE. He has also received accolades for his outstanding reviewer work from Knowledge-Based Systems. He has authored over 300 peer-reviewed research papers, all of which are indexed in SCI-SCIE, and 10 books. He is currently a guest editor for more than forty special issues in various peer-reviewed journals. He is an Editor-in-Chief of the International Journal of Modern Research, Co-Editor-in-Chief of the International Journal of Electronics and Communications Systems and International Journal of Ubiquitous Technology and Management. He is an Associate Editor of IEEE Transactions on Industrial Informatics, IET Software, Expert Systems, IEEE Systems, Man, and Cybernetics Magazine, Spatial Information Research, and more. He is also an Academic Editor of Computational and Mathematical Methods in Medicine, Scientific Programming, Mobile Information Systems, and Review Editor of Frontiers in Energy Research - Fuel Cells, Frontiers in High-Performance Computing - Parallel and Distributed Software, Frontiers in Artificial Intelligence - Pattern Recognition, and more. His research interests span a wide range of topics including Artificial Intelligence, Internet of Things, Machine-learning, Deep-learning, Single-, Multi-, Many-objective optimization (Bio-inspired, Evolutionary, and Quantum), Soft computing (Type-1 and Type-2 fuzzy sets), Power systems, and Change detection using remotely sensed high-resolution satellite data. He has published his research in various reputed journals.
Preface. Foreword. Introduction to Responsible AI. AvatarGuard:
Customizable, Secure, and Private Virtual Identities for Video
Conferencing. AI Ethics: A Deep Dive. Bias in AI: Causes and Mitigation.
Bias in AI: Causes and Mitigation. Transparency and Explainability in AI.
PromptCraft: Illuminating Ideas with High-Definition Brilliance through
Stable Diffusion in Text-to-Image Generation. Responsible AI in Autonomous
Systems. Responsible AI Governance and Regulation. Charting the Future of
Responsible AI. AI for Good: Social and Environmental Impact. AI in
Finance: Navigating Ethical Quandaries.
Customizable, Secure, and Private Virtual Identities for Video
Conferencing. AI Ethics: A Deep Dive. Bias in AI: Causes and Mitigation.
Bias in AI: Causes and Mitigation. Transparency and Explainability in AI.
PromptCraft: Illuminating Ideas with High-Definition Brilliance through
Stable Diffusion in Text-to-Image Generation. Responsible AI in Autonomous
Systems. Responsible AI Governance and Regulation. Charting the Future of
Responsible AI. AI for Good: Social and Environmental Impact. AI in
Finance: Navigating Ethical Quandaries.
Preface. Foreword. Introduction to Responsible AI. AvatarGuard:
Customizable, Secure, and Private Virtual Identities for Video
Conferencing. AI Ethics: A Deep Dive. Bias in AI: Causes and Mitigation.
Bias in AI: Causes and Mitigation. Transparency and Explainability in AI.
PromptCraft: Illuminating Ideas with High-Definition Brilliance through
Stable Diffusion in Text-to-Image Generation. Responsible AI in Autonomous
Systems. Responsible AI Governance and Regulation. Charting the Future of
Responsible AI. AI for Good: Social and Environmental Impact. AI in
Finance: Navigating Ethical Quandaries.
Customizable, Secure, and Private Virtual Identities for Video
Conferencing. AI Ethics: A Deep Dive. Bias in AI: Causes and Mitigation.
Bias in AI: Causes and Mitigation. Transparency and Explainability in AI.
PromptCraft: Illuminating Ideas with High-Definition Brilliance through
Stable Diffusion in Text-to-Image Generation. Responsible AI in Autonomous
Systems. Responsible AI Governance and Regulation. Charting the Future of
Responsible AI. AI for Good: Social and Environmental Impact. AI in
Finance: Navigating Ethical Quandaries.