AI & Society最新文献_第10页

Morality first? 道德吗?

IF 2.9

AI & Society Pub Date : 2024-05-28 DOI: 10.1007/s00146-024-01926-y

Nathaniel Sharadin

引用次数: 0

Perceived responsibility in AI-supported medicine 人工智能辅助医疗的责任意识

IF 2.9

AI & Society Pub Date : 2024-05-22 DOI: 10.1007/s00146-024-01972-6

S. Krügel, J. Ammeling, M. Aubreville, A. Fritz, A. Kießig, Matthias Uhl

引用次数: 0

Navigating technological shifts: worker perspectives on AI and emerging technologies impacting well-being 驾驭技术变革：工人对影响福祉的人工智能和新兴技术的看法

IF 2.9

AI & Society Pub Date : 2024-05-21 DOI: 10.1007/s00146-024-01962-8

Tim Hinks

引用次数: 0

Why artificial intelligence needs sociology of knowledge: parts I and II 人工智能为何需要知识社会学：第一和第二部分

IF 2.9

AI & Society Pub Date : 2024-05-18 DOI: 10.1007/s00146-024-01954-8

Harry Collins

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引用次数: 0

The extimate core of understanding: absolute metaphors, psychosis and large language models 理解的外在核心：绝对隐喻、精神病和大型语言模型

IF 2.9

AI & Society Pub Date : 2024-05-18 DOI: 10.1007/s00146-024-01971-7

Marc Heimann, Anne-Friederike Hübener

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引用次数: 0

AI, automation and the lightening of work 人工智能、自动化和工作轻松化

IF 2.9

AI & Society Pub Date : 2024-05-16 DOI: 10.1007/s00146-024-01959-3

David A. Spencer

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引用次数: 0

The case for a broader approach to AI assurance: addressing “hidden” harms in the development of artificial intelligence 采用更广泛的方法来保证人工智能：解决人工智能发展中的“隐藏”危害

IF 2.9

AI & Society Pub Date : 2024-05-16 DOI: 10.1007/s00146-024-01950-y

Christopher Thomas, Huw Roberts, Jakob Mökander, Andreas Tsamados, Mariarosaria Taddeo, Luciano Floridi

{"title":"The case for a broader approach to AI assurance: addressing “hidden” harms in the development of artificial intelligence","authors":"Christopher Thomas, Huw Roberts, Jakob Mökander, Andreas Tsamados, Mariarosaria Taddeo, Luciano Floridi","doi":"10.1007/s00146-024-01950-y","DOIUrl":"10.1007/s00146-024-01950-y","url":null,"abstract":"<div><p>Artificial intelligence (AI) assurance is an umbrella term describing many approaches—such as impact assessment, audit, and certification procedures—used to provide evidence that an AI system is legal, ethical, and technically robust. AI assurance approaches largely focus on two overlapping categories of harms: deployment harms that emerge at, or after, the point of use, and individual harms that directly impact a person as an individual. Current approaches generally overlook upstream collective and societal harms associated with the development of systems, such as resource extraction and processing, exploitative labour practices and energy intensive model training. Thus, the scope of current AI assurance practice is insufficient for ensuring that AI is ethical in a holistic sense, i.e. in ways that are legally permissible, socially acceptable, economically viable and environmentally sustainable. This article addresses this shortcoming by arguing for a broader approach to AI assurance that is sensitive to the full scope of AI development and deployment harms. To do so, the article maps harms related to AI and highlights three examples of harmful practices that occur upstream in the AI supply chain and impact the environment, labour, and data exploitation. It then reviews assurance mechanisms used in adjacent industries to mitigate similar harms, evaluating their strengths, weaknesses, and how effectively they are being applied to AI. Finally, it provides recommendations as to how a broader approach to AI assurance can be implemented to mitigate harms more effectively across the whole AI supply chain.</p></div>","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"40 3","pages":"1469 - 1484"},"PeriodicalIF":2.9,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00146-024-01950-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143818232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The unseen dilemma of AI in mental healthcare 人工智能在精神医疗领域的隐形困境

IF 2.9

AI & Society Pub Date : 2024-05-13 DOI: 10.1007/s00146-024-01937-9

Akhil P. Joseph, Anithamol Babu

引用次数: 0

The age of the algorithmic society a Girardian analysis of mimesis, rivalry, and identity in the age of artificial intelligence 算法社会时代--吉拉德对人工智能时代的模仿、竞争和身份认同的分析

IF 2.9

AI & Society Pub Date : 2024-05-11 DOI: 10.1007/s00146-024-01915-1

Lucas Freund

{"title":"The age of the algorithmic society a Girardian analysis of mimesis, rivalry, and identity in the age of artificial intelligence","authors":"Lucas Freund","doi":"10.1007/s00146-024-01915-1","DOIUrl":"10.1007/s00146-024-01915-1","url":null,"abstract":"<div><p>This paper explores the intersection of René Girard's mimetic theory and the algorithmic society, particularly in the context of the potential advent of Artificial General Intelligence (AGI). Girard's theory, which elucidates the dynamics of desire, rivalry, scapegoating, and the sacrificial crisis, provides a unique lens through which to examine the complexities of our relationship with AI and its role in the creation of the sacred. As individuals increasingly rely on AI recommendations, the distinction between personal choice and algorithmic manipulation becomes less clear, raising concerns about the authenticity of cultural expressions and the role of algorithms in shaping cultural narratives. The triangular structure of desire, with AI as the model and individuals as the imitators, underscores the power of algorithms in this process. The sacrificial crisis, a key concept in Girard's theory, becomes a critical point of reflection in the algorithmic society. The exposure of the scapegoating mechanism reveals the destructive potential of algorithmic manipulation and calls for new forms of understanding, empathy, and non-violent solutions. This paper argues that recognizing the sacrificial crisis can prompt individuals and society to critically examine the impact of AI's influence, challenge the narratives it perpetuates, and reclaim agency in the face of algorithmic dominance. This paper further discusses the potential implications of the emergence of AGI, which could intensify the influence of algorithms on the creation of the sacred due to its advanced cognitive capabilities and deep understanding of human desires and behaviors. This could fuel a rapid evolution of the mimetic ecosystem, with profound implications for personal freedom, independent decision-making, and the formation and preservation of individual identity. This paper concludes by emphasizing the need for responsible algorithmic practices and ethical considerations to ensure that the creation of the sacred serves the common good in the algorithmic society.</p></div>","PeriodicalId":47165,"journal":{"name":"AI & Society","volume":"40 3","pages":"1227 - 1236"},"PeriodicalIF":2.9,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140989130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine theology or artificial sainthood! 机器神学或人造圣人

IF 2.9

AI & Society Pub Date : 2024-05-10 DOI: 10.1007/s00146-024-01964-6

Karamjit S. Gill

引用次数: 0