Airbnb's Trustworthiness Algorithm: Unfair Bans and Alleged Discrimination Against Sex Workers - A Case for Safe and Secure AI
July 1, 2017
Exploring an alleged case of Airbnb utilizing a trustworthiness algorithm to assess users, leading to unclear bans. This raises concerns over discrimination against sex workers. Learn about the importance of responsible AI governance in such scenarios and how Project Cerebellum's AI incident database is helping prevent harm. Ready to help shape responsible AI? JOIN US. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).
- Alleged deployer
- airbnb
- Alleged developer
- airbnb, trooly
- Alleged harmed parties
- sex-workers, airbnb-users
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/183
Data source
Incident data is from the AI Incident Database (AIID).
When citing the database as a whole, please use:
McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.
Pre-print on arXiv · Database snapshots & citation guide
We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.