Ai Use In Social Sciences
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The Routledge Social Science Handbook of AI
The Routledge Social Science Handbook of AI is a landmark volume providing students and teachers with a comprehensive and accessible guide to the major topics and trends of research in the social sciences of artificial intelligence (AI), as well as surveying how the digital revolution – from supercomputers and social media to advanced automation and robotics – is transforming society, culture, politics and economy. The Handbook provides representative coverage of the full range of social science engagements with the AI revolution, from employment and jobs to education and new digital skills to automated technologies of military warfare and the future of ethics. The reference work is introduced by editor Anthony Elliott, who addresses the question of relationship of social sciences to artificial intelligence, and who surveys various convergences and divergences between contemporary social theory and the digital revolution. The Handbook is exceptionally wide-ranging in span, covering topics all the way from AI technologies in everyday life to single-purpose robots throughout home and work life, and from the mainstreaming of human-machine interfaces to the latest advances in AI, such as the ability to mimic (and improve on) many aspects of human brain function. A unique integration of social science on the one hand and new technologies of artificial intelligence on the other, this Handbook offers readers new ways of understanding the rise of AI and its associated global transformations. Written in a clear and direct style, the Handbook will appeal to a wide undergraduate audience.
Artificial Intelligence in Society
The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.
AI Use in Social Sciences
Artificial intelligence (AI)-based technologies are significantly impacting various social science disciplines. With the large data sets that are analyzed, technologies such as machine learning (ML), natural language processing (NLP), and neural networks are particularly useful in disciplines such as sociology, psychology, political science, anthropology, and economics. Thus, social science education and research benefit by the ability of AI to effectively analyze data sets, predict, and increase interactivity. However, ethical concerns regarding privacy and algorithm bias cause some to be resistant to adopting the use of AI in social science fields. Thus, it is crucial to consider the ethical consequences while exploring the multifaceted impact of AI on education, research, and social sciences. AI Use in Social Sciences explores the opportunities and challenges AI provides to the field of social sciences. It presents practical applications of AI and the societal implications they have. Covering topics such as, philosophy teaching, economic policy, and unified theory of acceptance and use of technology (UTAUT), this book is an excellent resource for social scientists, teachers, ethicists, policymakers, researchers, professionals, scholars, academicians, and more.