Scholarlink

This panel discussion is highly interdisciplinary, exploring AI-empowered software engineering as a dynamic field with broad societal and scientific implications. It features distinguished researchers from diverse domains, including experts developing autonomous AI software and scholars analyzing its impact. Each discipline encounters unique challenges—some define technical requirements as stakeholders, while others develop AI-driven methodologies, address conflicts, and refine software engineering practices. The panelists also critically examine ethical dilemmas, regulatory frameworks, and moral considerations relevant to their fields. By synthesizing perspectives across disciplines, this discussion offers insights into the evolving domain of AI integration, ethics, and governance. It underscores the need for collaboration in shaping engineering methodologies, policies, and best practices for AI-empowered software, acknowledging its profound societal and technological impact. This panel aims to contribute to a comprehensive framework for AI governance, software validation, and risk assessment. It also provides critical insights into the future of AI-empowered autonomous systems, ensuring they remain reliable, interpretable, and aligned with societal values.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Artificial Intelligence-Empowered Autonomous Software – Moral Dilemmas, Ethics, Regulations, Challenges and Requirements: Interdisciplinary Panel Discussion

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • George A. Tsihrintzis,
  • Maria Virvou,
  • Foteini Asderaki,
  • Konstantinos Deligiannis-Virvos,
  • Stephan Krusche,
  • Aggelos Pantouvakis,
  • Julie Slyngstad,
  • Hinorori Washizaki

摘要

This panel discussion is highly interdisciplinary, exploring AI-empowered software engineering as a dynamic field with broad societal and scientific implications. It features distinguished researchers from diverse domains, including experts developing autonomous AI software and scholars analyzing its impact. Each discipline encounters unique challenges—some define technical requirements as stakeholders, while others develop AI-driven methodologies, address conflicts, and refine software engineering practices. The panelists also critically examine ethical dilemmas, regulatory frameworks, and moral considerations relevant to their fields. By synthesizing perspectives across disciplines, this discussion offers insights into the evolving domain of AI integration, ethics, and governance. It underscores the need for collaboration in shaping engineering methodologies, policies, and best practices for AI-empowered software, acknowledging its profound societal and technological impact. This panel aims to contribute to a comprehensive framework for AI governance, software validation, and risk assessment. It also provides critical insights into the future of AI-empowered autonomous systems, ensuring they remain reliable, interpretable, and aligned with societal values.