As digital technologies become deeply embedded in organizations, markets, and everyday life, questions of ethics, responsibility, and human values move to the center of information systems research and practice. This conference brings together interdisciplinary scholars to examine how technologies can be designed, deployed, and governed in ways that respect human dignity, promote fairness, and serve the broader good. We welcome a wide range of perspectives (conceptual, empirical, design-oriented, and critical) and encourage contributions that cross disciplinary boundaries, methodological traditions, and levels of analysis (individual, organizational, and societal).
We invite full papers, short papers, work-in-progress reports, and design artifacts. Quantitative, qualitative, design-science, behavioral, computational, and conceptual approaches are all welcome. Submissions should not exceed 15 pages for full papers and 6 pages for all other categories.
Topics include, but are not limited to:
- Ethical frameworks and theories for responsible technology design
- Transparency and accountability in algorithmic and AI systems
- Human-centered and value-sensitive design methods
- Privacy, surveillance, and data governance
- Trust and trustworthiness in human–AI interaction
- Bias, discrimination, and inclusion in information systems
- Digital well-being, attention, and technology overuse
- Autonomy, manipulation, and dark patterns in digital platforms
- Responsible AI governance, regulation, and compliance
- Ethics of generative AI and large language models in organizations
- Future of work, automation, and the human role
- Accessibility and digital equity
- Misinformation, content moderation, and platform responsibility
- Corporate digital responsibility and tech ethics in practice
- Stakeholder participation and democratic technology governance
- Ethical challenges in emerging technologies
- Cross-cultural and global perspectives on responsible technology
The organizers will experiment with GenAI to augment - never replace - the human review process. Submitted work will receive an AI-generated review within 3 days of submission. Authors will then have 1 week to respond to the AI-generated review. The authors can react to the AI-generated comments that are considered useful and addressable, including potential clarifications and/or additional analyses. They can also explain which comments can be considered incorrect or out-of-the scope of the study. Assigned human reviewers may then have access to the submitted work, the AI-generated review, and the response. Authors can also opt-out of the experiment at the time of the initial submission. All acceptance/rejection decisions will remain uniquely human and no submitted work will be used to train AI models. The authors and reviewers who participate will also be invited - at the end of the process - to submit feedback on their experience with the AI generated review.
Please sign up on the conference website if you are willing to be a reviewer.
Accepted papers will be considered for a Best Paper Award.