会议信息

AIES 2026: AAAI/ACM Conference on AI, Ethics, and Society

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AIES
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截稿日期:
2026-05-14
通知日期:
2026-07-16
会议日期:
2026-10-12
会议地点:
Malmo, Sweden
届数:
9
ICORE: C   浏览: 12674   关注: 1   参加: 0

会伴指数 (CP-I)

52.2 / 100
全站第 1,161 名 / 共 5,682 个会议 · 前 21%
学术认可 (35%)
58
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
62
社区关注 (10%)
20
资料公开度 (15%)
50

用到的输入: 收录等级：ICORE C · 有据可查的届次：9 · 在会伴关注它的研究者：1 人 · 过去 24 个月打开过本页的研究者：5 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-15

征稿

AIES 2026 (AAAI/ACM Conference on AI, Ethics, and Society) is a ICORE C conference held in Malmo, Sweden on 2026-10-12. The paper submission deadline is 2026-05-14. Acceptance notifications are sent on 2026-07-16.

Artificial intelligence (AI) has become a pervasive, powerful, and contested feature of contemporary society. No longer experimental artifacts, AI systems now function as infrastructural components shaping governance, labor, knowledge production, and social relations. As these systems move from design into large-scale deployment, their societal impact is increasingly driven by processes of scaling and institutional entrenchment rather than technical choices alone. With increased interplay between AI systems and their socioeconomic and geopolitical context, notably in terms of entrenching (or countering) power asymmetries and concentrated control, social and ethical questions around who controls, deploys and governs them are ever more relevant. While AI has the potential to empower individuals and improve society, the ethical ramifications of AI systems and their impact on human societies require deep and urgent reflection. International organizations, governments, universities, corporations, and philanthropists have recognized this need to embark on an interdisciplinary investigation to help chart a course through the new territory enabled by AI. AIES is convened each year by program co-chairs from Computer Science, Law and Policy, the Social Sciences, Ethics and Philosophy, and welcomes a broad range of methodological approaches, including empirical, normative, participatory, critical, and technical work. Our goal is to encourage talented scholars in these and related fields to submit their best work related to morality, law, policy, psychology, the other social sciences, and AI, encouraging contributions that make their methodological commitments explicit and speak meaningfully across disciplinary boundaries. Papers should be tailored for a multi-disciplinary audience while maintaining a strong focus on excellence in research. In addition to the community of scholars who have participated in these discussions from the outset, we explicitly invite disciplinary experts who are newer to this area and who seek to break new ground in their own fields by engaging with AI. Recognizing that a multiplicity of perspectives leads to stronger science, the conference organizers actively welcome and encourage people with differing identities, expertise, backgrounds, beliefs, or experiences to participate. AIES 2026 invites work that not only analyzes ethical and societal challenges, but helps reimagine the institutions, practices, and values needed to govern AI responsibly. We especially encourage submissions that are grounded in real-world AI deployments and institutional settings connect normative or ethical claims to concrete sociotechnical, organizational, legal, or policy contexts offer cross-national or comparative perspectives provide reflexive accounts of ethics-in-practice speak clearly and substantively across disciplinary boundaries The following topics would be of interest, but the list is intended to be illustrative, not exhaustive: Power, Governance, and Political Economy Governance, regulation, control, safety, and security of AI Accountability and responsibility across AI value chains Organizational, institutional, and collective responsibility for AI systems Post-deployment accountability, harm, and mechanisms for redress AI, markets, and competition Cultural, geopolitical, economic, employment, and other societal impacts of AI AI Systems, Values, and Ethical Design Trustworthy AI systems Value alignment and moral decision making Ethical theories, models and frameworks for AI and data Interpretability, explainability, and transparency Fairness, bias, equity, and equality Human-centered AI, human-AI interaction, collaboration, and teaming Control, alignment, and scalable oversight of AI systems Ethics and safety in agents, embodied intelligence, and robots Eco-sensitive, resource-conscious (“Green”) AI design AI in Social and Institutional Domains AI in law, lawmaking and the judiciary AI in public administration, social service provision, and social good AI, surveillance, and privacy AI, health, and wellbeing AI, creativity, cultural production and the arts AI and democracy, agency, civic participation, and social movements Impact of AI on humans and society Work, Labor, and Global Inequalities AI, markets, and competition AI, labor, employment, and the future of work Labor relations, worker surveillance, and automation Marginalized, Indigenous, and Global South perspectives on AI development and governance Critique, Consequences, and Limits of AI Critique, resistance, and refusal in relation to AI systems AI harms, failures, and non-adoption in practice Environmental costs and climate impacts of AI Societal limits, overreach, and dependency on AI
由 Dou Sun 最后更新于

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