News: Our keynote speaker will be Ece Kamar from Microsoft Research AI! More information will be posted soon.
Motivation
What you will get out of the workshop
- If you are from HCI: Learn state-of-the-art algorithmic techniques and the philosophical and social theoretical framing of AI fairness
- If you are from AI/ML: Learn human-centric methods in order to understand human perceptions of fairness and evaluate fair and responsible AI systems, and learn about real-world social factors that algorithms need to account for.
- If you are from social sciences: Learn current interventions to achieve fair and responsible AI.
How to participate
We are open to diverse forms of the submissions, including reports on empirical research findings on fair and responsible AI, essays that offer critical stances and/or visions for future work, and show-and-tell case studies of industry projects.
- Human biases in human-in-the-loop decisions
- Human perceptions of algorithmic fairness
- Development & evaluation of fair ML models
- Explanations & transparency of algorithmic decisions
- Methods for stakeholder participation in AI design
- Decision-support system design
- Algorithm auditing techniques
- Ethics of AI
- Sociocultural studies of AI in practice
Position papers will be reviewed by two organizers and evaluated based on their quality, novelty, and fit with the workshop theme. Accepted papers will be posted on the website. At least one author of an accepted paper must attend the workshop and all participants must register for both the workshop and for at least one day of the conference.
- Position paper deadline: February 11, 2020 at 23:59:59 AoE (UCT-12).
- Notification: February 28, 2020
- Workshop at CHI2020: April 26 (Sunday), 2020
Contact Information
Submission URL
FAQ
Should the submission be anonymized?
No, please include your names and affiliations in the submission.
What timezone is used for when the submission is due?
Anywhere on Earth (AoE). That's UTC-12.
Does the page limit apply to references?
Yes, the page limit includes the references.
Should submissions be conceptual or experimental? Qualitative or quantitative?
We welcome either style of work.
May we submit something that has already been published, accepted for publication, or is under submission elsewhere?
Your submission to us should be an original write up, but, as far as we are concerned, it may be based upon research reported in another submission and/or publication.
Do you have travel stipends or student grants?
Sadly, no.
Publications
On the Nature of Bias Percolation: Assessing Multiaxial Collaboration in Human-AI Systems
Andi Peng, Besmira Nushi, Kori Inkpen, Emre Kiciman, Ece Kamar
Designing for Digital Agency: Equity Perspectives and AI in K-12 Education
Ariam Mogos, Laura McBain, Carissa Carter, Megan Stariha, Lisa Kay Solomon
Measuring Social Biases of Crowd Workers using Counterfactual Queries
Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Klaus Mueller
Getting Fairness Right: Towards a Toolbox for Practitioners
Boris Ruf, Chaouki Boutharouite, Marcin Detyniecki
View all