Summary of Generative Ai Carries Non-democratic Biases and Stereotypes: Representation Of Women, Black Individuals, Age Groups, and People with Disability in Ai-generated Images Across Occupations, by Ayoob Sadeghiani
Generative AI Carries Non-Democratic Biases and Stereotypes: Representation of Women, Black Individuals, Age Groups, and People with Disability in AI-Generated Images across Occupations
by Ayoob Sadeghiani
First submitted to arxiv on: 20 Sep 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL); Computers and Society (cs.CY)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper explores the risks of generative AI in terms of inclusivity, specifically focusing on how it may exclude certain equity-deserving groups from its outputs. It finds that these models are not equitably inclusive when considering factors such as gender, race, age, and visible disability. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary AI can be biased and unfair if not designed with equality in mind. This short paper talks about a specific problem: how AI systems that create new content might leave out certain groups of people. The research shows that these systems don’t always treat everyone fairly when it comes to things like gender, race, age, or physical ability. |
