Artificial Intelligence: Technical and Societal Advancements (人工智慧：技術與社會的進步)
Kose, Utku, Demirezen, Mustafa Umut
相關主題
商品描述
This book provides an examination of cutting-edge research and developments in the field of artificial intelligence. It seeks to extend the view in both technical and societal evaluations to ensure a well-defined balance for societal outcomes. It explores hot topics such as generative artificial intelligence, artificial intelligence in law, education and climate change.
Artificial Intelligence: Technical and Societal Advancements seeks to bridge the gap between theory and practical applications of AI by giving readers insight into recent advancements. It offers readers a deep dive into the transformative power of AI for the present and future world. As artificial intelligence continues to revolutionize various sectors, the book discusses applications from healthcare to finance, from entertainment to industrial areas. It discusses the technical aspects of intelligent systems and the effects of these aspects on humans. To this point, this book considers technical advancements while discussing the societal pros and cons in terms of human-machine interaction in critical applications. The authors also stress the importance of deriving policies and predictions about how to make future intelligent systems compatible with humans through a necessary level of human management. Finally, this book provides the opinions and views by researchers and experts (from public/private sector) including educators, lawyers, policymakers, managers, and business-related representatives.
The target reader of this book includes academicians, researchers, experts, policymakers, educators, and B.S., M.S., PhD. students in the context of target problem fields. It can be used accordingly as a reference source and even supportive material for artificial intelligence-oriented courses.
商品描述(中文翻譯)
本書提供了對人工智慧領域前沿研究和發展的檢視。它旨在擴展技術和社會評估的視角，以確保社會結果的明確平衡。書中探討了如生成式人工智慧、人工智慧在法律、教育和氣候變遷等熱點話題。
《人工智慧：技術與社會進展》旨在彌合AI理論與實際應用之間的鴻溝，為讀者提供對近期進展的深入見解。它深入探討了人工智慧對當前和未來世界的變革力量。隨著人工智慧持續革新各個領域，本書討論了從醫療到金融、從娛樂到工業等多個應用。它探討了智能系統的技術面向及其對人類的影響。在這一點上，本書在討論人機互動的關鍵應用時，考慮了技術進展，同時討論了社會的利弊。作者還強調了制定政策和預測的重要性，以確保未來的智能系統能夠與人類兼容，並需要一定程度的人類管理。最後，本書提供了來自公共和私人部門的研究者和專家的意見和觀點，包括教育工作者、律師、政策制定者、管理者和商業相關代表。
本書的目標讀者包括學者、研究者、專家、政策制定者、教育工作者，以及在相關問題領域的學士、碩士和博士生。它可以作為參考資料，甚至作為人工智慧相關課程的輔助材料。
作者簡介
Dr. Utku Kose received a B.S. degree in computer education from Gazi University, Turkey, as a faculty valedictorian in 2008. He received an M.S. degree in computer education from Afyon Kocatepe University, Turkey, in 2010 and a D.S./Ph.D. degree in computer engineering from Selcuk University, Turkey, in 2017. Between 2009 and 2011, he worked as a Research Assistant at Afyon Kocatepe University. He is a Visiting Researcher at the University of North Dakota, USA, and an Associate Professor at Suleyman Demirel University, Turkey. His research interests include artificial intelligence, machine ethics, artificial intelligence safety, biomedical applications, optimization, chaos theory, distance education, e-learning, computer education, and computer science.
Dr. Mustafa Umut Demirezen received B.S., M.Sc., and Ph.D. degrees in electrical and electronics engineering from Gazi University in 2000, 2002, and 2015, respectively. Since 2023, he has been with the Department of Data Products, UDemy Inc., as the Senior Manager of Machine Learning Engineering. He also holds the title of Associate Professor. His research interests include artificial intelligence, deep learning, neuromorphic computing, spiking neural networks, scientific machine learning, and physics-informed neural networks.
作者簡介(中文翻譯)
Dr. Utku Kose於2008年以優等生身份從土耳其的Gazi University獲得計算機教育學士學位。2010年，他在土耳其的Afyon Kocatepe University獲得計算機教育碩士學位，並於2017年在土耳其的Selcuk University獲得計算機工程博士學位。2009年至2011年間，他在Afyon Kocatepe University擔任研究助理。他目前是美國北達科他州立大學的訪問研究員，以及土耳其Suleyman Demirel University的副教授。他的研究興趣包括人工智慧、機器倫理、人工智慧安全、生物醫學應用、優化、混沌理論、遠程教育、電子學習、計算機教育和計算機科學。
Dr. Mustafa Umut Demirezen於2000年、2002年和2015年分別在Gazi University獲得電氣與電子工程的學士、碩士和博士學位。自2023年以來，他在UDemy Inc.的數據產品部門擔任機器學習工程的高級經理，同時也擔任副教授。他的研究興趣包括人工智慧、深度學習、類神經計算、脈衝神經網絡、科學機器學習和物理知識神經網絡。
