会議情報

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

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AIES
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投稿締切日:
2026-05-14
通知日:
2026-07-16
開催日:
2026-10-12
開催地:
Malmo, Sweden
開催回数:
9
ICORE: C   閲覧: 12673   フォロー: 1   参加: 0

会伴インデックス (CP-I)

52.2 / 100
全 5,682 件中 第 1,161 位 · 上位 21%
学術的評価 (35%)
58
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
62
コミュニティの注目度 (10%)
20
公開情報の充実度 (15%)
50

使用した入力: 収録ランク：ICORE C · 確認できる開催回数：9 · 会伴でフォローしている研究者：1 人 · 過去 24 か月にこのページを開いた研究者：5 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 過去の開催回 (+3.0)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 80% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-09-15

論文募集

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
最終更新：Dou Sun（）

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