The Challenges for GenAI in Social and Individual Well-Being

Takashi Kido, K. Takadama
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Abstract

At the AAAI Spring Symposium 2024, we explore the important challenges facing Generative Artificial Intelligence (GenAI) concerning both social structures and individual welfare. Our discussion revolves around two perspectives. Individual Impact of GenAI on Well-being: This perspective focuses on the design of AI systems with keen consideration for individual well-being. It seeks to understand how digital experiences influence emotions and the quality of life at a personal level. By examining the effects of AI technologies on individuals, we aim to tailor solutions to enhance personal welfare and fulfillment. Social Impact of GenAI on Well-being: Here, emphasis shifts to the broader societal implications of GenAI. We strive for decisions and implementations that foster fairness and benefit all members of society. This perspective acknowledges the interconnectedness of individuals within social structures and seeks to ensure that GenAI advancements positively contribute to collective well-being. In this paper, we provide an overview of the motivations driving our exploration, elucidate key terms essential for understanding the discourse, outline the primary areas of focus of our symposium, and pose research inquiries that will guide our discussions. Through this comprehensive approach, we aim to address the multifaceted challenges and opportunities presented by GenAI in promoting both social and individual well-being.
GenAI 在社会和个人福祉方面面临的挑战
在 2024 年美国人工智能学会春季研讨会上,我们将探讨生成式人工智能(GenAI)在社会结构和个人福利方面面临的重要挑战。我们将围绕两个视角展开讨论:这一视角主要关注人工智能系统的设计,并对个人福祉进行了敏锐的考量。它旨在了解数字体验如何在个人层面上影响情感和生活质量。通过研究人工智能技术对个人的影响,我们旨在量身定制解决方案,以提高个人福利和成就感:在此,重点转向 GenAI 更广泛的社会影响。我们致力于促进公平和惠及所有社会成员的决策和实施。在本文中,我们概述了推动我们进行探索的动机,阐明了理解讨论所必需的关键术语,概述了我们研讨会的主要关注领域,并提出了将指导我们讨论的研究问题。通过这种综合方法,我们旨在应对 GenAI 在促进社会和个人福祉方面带来的多方面挑战和机遇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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