AIES 2026 (AAAI/ACM Conference on AI, Ethics, and Society) is an academic 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
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