Sora Video Generator Has Reportedly Been Creating Biased Human Representations Across Race, Gender, and Disability
Description
A WIRED investigation found that OpenAI's video generation model, Sora, exhibits representational bias across race, gender, body type, and disability. In tests using 250 prompts, Sora was more likely to depict CEOs and professors as men, flight attendants and childcare workers as women, and showed limited or stereotypical portrayals of disabled individuals and people with larger bodies.
Actors
Alleged Deployers
- openai
Alleged Developers
- openai
- synthetic-media-generation-technology-developers
- synthetic-video-generation-technology-developers
Harmed Parties
- women
- people-with-larger-bodies
- people-with-disabilities
- people-of-color
- marginalized-groups
- lgbtq+-people
- general-public
- women-and-girls
Classification
Risk Domain
Discrimination & ToxicityRisk Subdomain
1.1. Unfair discrimination and misrepresentation
MIT Risk Profile
Topics
Source
Related Incidents (Discrimination & Toxicity)
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Mitigation Tools
Tools related to this risk domain, via shared responsible AI topics.
Open Source
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Trusted-AI/AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
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fairlearn
fairlearn/fairlearn
A Python package to assess and improve fairness of machine learning models.
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responsible-ai-toolbox
microsoft/responsible-ai-toolbox
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.