Exploring the Ethical Conundrum of AI-Based Sexual Orientation Detection

In an attempt to advance Artificial Intelligence (AI) research, Stanford researchers embarked on a project aimed at developing an AI system capable of predicting sexual orientation. However, their endeavor sparked controversy due to ethical concerns about privacy, discrimination, and the potential for misuse.

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Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MAP 1.6 — similarity 0.534, rank 1. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.513, rank 2. TAIM detail and related incidents →
MEASURE 2.5 — similarity 0.509, rank 3. TAIM detail and related incidents →

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/167

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.

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