We welcome submissions that address the following topics:

• Value alignment challenges in human-AI interaction

• Fairness and bias in algorithmic systems

• Transparency and explainability in AI

• Privacy, autonomy, and control in human-AI decision-making

• Factors influencing the adoption of ethical AI practices

• Misalignment of incentives and performance indicators with responsible AI development

• Behavioral interventions to promote ethical AI development (e.g., nudges, friction)

• Accountability mechanisms and governance

  frameworks for AI systems

• Strategies to mitigate ethics washing and signaling risks

• Policy levers to mandate responsible AI innovation

  
  

We encourage the submission of original contributions, investigating novel methodologies and/or approaches to design/implement/promote ethical AI systems and algorithms and governance thereof. In particular, authors can submit:

i) Regular papers (max 12pgs + references – CEUR.ws format)

ii) Short/Position/Discussion papers (max 6pgs + references - CEUR.ws format)

All submitted papers will be evaluated by one/two members of the program committee, based on originality, significance, relevance and technical quality. Submissions (PDF) must be in English in the CEUR-WS conference format available at this link.

The review process is single-blinded, i.e., authors names should be included in the submissions. At least one of the authors should register and take part at the conference to make the presentation.