Machine Learning in Society: Prospects, Risks, and Benefits

被引:0
作者
Mirko Farina [1 ]
Witold Pedrycz [2 ]
机构
[1] Artificial Systems [IDEAS], Xiamen University and Lomonosov Moscow State University, 15/F, 16/F, Building B09, Golden Brick Future Innovation Park, Jimei District, Fujian Province, Xiamen
[2] Departament of Technical Sciences, Western Caspian University, Baku
[3] Department of Electrical and Computer Engineering, Canada Chair Computational Intelligence, IEEE Life Fellow, University of Alberta, Edmonton
关键词
Applications; Artificial intelligence [AI; Machine learning [ML; Our future; Risks and benefits; Society;
D O I
10.1007/s13347-024-00782-4
中图分类号
学科分类号
摘要
Machine Learning (ML) is revolutionizing the functioning of our societies and reshaping much of the economic tissue underlying them. The deep integration of ML into the fabric of our lives has changed to way we work and communicate and how we relate to each other. In this Topical Collection we reflect on the reach and impact of this AI (ML-driven) revolution in our society, critically analyzing some of the most important ethical, epistemological, scientific, and sociological issues underlying it. © The Author(s), under exclusive licence to Springer Nature B.V. 2024.
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  • [11] Dogan A., Birant D., Machine learning and data mining in manufacturing, Expert Systems with Applications, 166, (2021)
  • [12] Douglas T., Criteria for assessing AI-Based sentencing algorithms: A reply to Ryberg, Philosophy & Technology, 37, 1, pp. 1-4, (2024)
  • [13] Erler A., AI successors worth creating? Commentary on Lavazza & Vilaça, Philosophy & Technology, 37, 1, pp. 1-5, (2024)
  • [14] Farina M., Lavazza A., The meaning of Freedom after Covid-19, History and Philosophy of the Life Sciences, 43, (2021)
  • [15] Farina M.A., Philosophy, Expertise, and the Myth of Neutrality. Routledge Studies in Contemporary Philosophy, (2024)
  • [16] Expertise: Philosophical perspectives., (2024)
  • [17] Farina M., Zhdanov P., Karimov A., Lavazza A., AI and society: A virtue ethics approach, AI & SOCIETY, pp. 1-14, (2022)
  • [18] Farina M., Gorb A., Kruglov A., Succi G., Technologies for GQM-based metrics recommender systems: A systematic literature review, Ieee Access : Practical Innovations, Open Solutions, 10, pp. 23098-23111, (2022)
  • [19] Farina M., Kostin M., Succi G., Interest identification from browser tab titles: A systematic literature review, Computers in Human Behavior Reports, 7, (2022)
  • [20] Farina M., Yu X., Lavazza A., Ethical considerations and policy interventions concerning the impact of generative AI tools in the economy and in society, AI and Ethics, pp. 1-9, (2024)