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B01=Loveleen Gaur
Category1=Non-Fiction
Category=JFMG
Category=UYQ
Category=UYZ
COP=United States
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
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Generative Artificial Intelligence and Ethics: Standards, Guidelines, and Best Practices

English

The rapid advancement of generative artificial intelligence (AI) has brought about significant ethical challenges. As machines become more adept at creating human-like content, concerns about misuse, bias, privacy, and accountability have emerged. Without clear guidelines and regulations, there is a risk of unethical use, such as creating deepfake videos or disseminating misinformation, which could have severe societal consequences. Additionally, questions about intellectual property rights and the ownership of AI-generated creations still need to be solved, further complicating the ethical landscape. The book, Generative Artificial Intelligence and Ethics: Standards, Guidelines, and Best Practices, comprehensively solves these ethical challenges. By providing insights into the historical development and key milestones of Generative AI, the book lays a foundation for understanding its complex ethical implications. It examines existing ethical frameworks and proposes new ones tailored to AI's unique characteristics, helping readers apply traditional ethics to AI development and deployment. The book equips readers with the knowledge and tools needed to address these ethical considerations in AI development through in-depth discussions on bias, fairness, privacy, and security. It also explores the role of education in fostering responsible AI practices. It offers practical guidelines for ethical decision-making throughout the AI lifecycle. By promoting ethical awareness and providing actionable solutions, this book empowers readers to navigate the moral challenges of Generative AI, ensuring its responsible and beneficial use for society. See more
Current price €355.49
Original price €394.99
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Age Group_Uncategorizedautomatic-updateB01=Loveleen GaurCategory1=Non-FictionCategory=JFMGCategory=UYQCategory=UYZCOP=United StatesDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 13 Sep 2024

Product Details
  • Dimensions: 216 x 279mm
  • Publication Date: 13 Sep 2024
  • Publisher: IGI Global
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9798369336915

About

Loveleen Gaur is currently working as an adjunct professor with Taylor University Malaysia & University of South Pacific Fiji and academic consultant with Australian School of Graduate Studies. Before moving to USA she was working as Professor with Amity University India. She has supervised several PhD scholars Post Graduate students mainly in Artificial Intelligence and Data Analytics for business and healthcare. Under her guidance the AI/Data Analytics research cluster has published extensively in high impact factor journals and has established extensive research collaboration globally with several renowned professionals. She is a senior IEEE member and Series Editor with CRC and Wiley. She has high indexed publications in SCI/ABDC/WoS/Scopus and has several Patents/copyrights on her account edited/authored many research books published by world-class publishers. She has excellent experience in supervising and co-supervising postgraduate and PhD students internationally. An ample number of Ph.D. and master's students graduated under her supervision. She is an external Ph.D./Master thesis examiner/evaluator for several universities globally. She has also served as Keynote speaker for several international conferences presented several Webinars worldwide chaired international conference sessions. Prof. Gaur has significantly contributed to enhancing scientific understanding by participating in many scientific conferences symposia and seminars by chairing technical sessions and delivering plenary and invited talks. She has specialized in the fields of Artificial Intelligence Machine Learning Pattern Recognition Internet of Things Data Analytics and Business Intelligence. She has chaired various positions in International Conferences of repute and is a reviewer with top rated journals of IEEE SCI and ABDC Journals. She has been honored with prestigious National and International awards. She has introduced courses related to Artificial Intelligence specialization including Predictive Analytics Deep and Reinforcement learning etc. She has vast experience teaching advanced-era specialized courses including Predictive Analytics Data Visualization Social Network Analytics Deep Learning Power BI Digital Marketing and Digital Innovation etc. besides other undergraduate and postgraduate courses graduation projects and thesis supervision.

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