成人大片

Topics of Interest

We invite submissions of abstracts on topics including, but not limited to, the following:

Technical and Methodological Aspects

• Trustworthy and responsible AI agents
• Confidence, uncertainty quantification, and reliability assessment in AI systems
• Robustness, reliability, explainability, and safety of AI in high-stakes applications
• Privacy-preserving, fair, and interpretable machine learning methods
• Safeguarding AI systems against misuse, distribution shift, and adversarial manipulation
• Hallucination detection, mitigation, and prevention in generative AI and LLM-based systems
• Verification, validation, and auditing of AI systems
• Human鈥揂I collaboration and decision support in safety-critical settings
• Data quality, dataset shift, and responsible data practices

Societal, Ethical, Legal, and Policy Aspects

• AI governance, regulation, and accountability frameworks
• Ethical, legal, and social aspects of AI in citizenship, migration, work, healthcare, and mental health
• Bias, discrimination, and equity in automated and AI-assisted decision-making
• Transparency, explainability, and public trust in AI systems
• Participatory, community-centered, and co-design approaches to responsible AI
• Case studies of AI deployment in public services, health, or migration contexts
• Risk communication, oversight, and institutional responsibility
• Socio-technical perspectives on AI adoption and impact

Submission Format and Review

We invite short abstracts for consideration for oral and/or poster presentations at the workshop. Contributions may be technical or non-technical, including (but not limited to) research results, system demonstrations, position papers, policy analyses, case studies, and community-based perspectives. Submissions should clearly articulate how the work relates to responsible AI and its impact on citizenship, migration, or other high-stakes social domains.

Accepted abstracts will be published on the workshop website. This workshop does not require full papers, and presentation at the workshop does not preclude later publication of extended versions elsewhere.

The workshop is explicitly interdisciplinary and welcomes contributions from computer science, engineering, social sciences, health, law, policy, and the humanities.

Submission Instructions

For more information, visit the Call for Abstract page. 
Please submit your work via the  by April 17, 2026.