PreciseDebias: An Automatic Prompt Engineering Approach for Generative AI to Mitigate Image Demographic Biases

Author:

Clemmer Colton1,Ding Junhua1,Feng Yunhe1

Affiliation:

1. University of North Texas,Denton,TX,USA

Funder

Microsoft

Publisher

IEEE

Reference33 articles.

1. How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?

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3. Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale

4. Language models are few-shot learners;Brown;Advances in neural information processing systems,2020

5. Has CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fine-Tuning Optimization of Small Language Models: A Novel Graph-Theoretical Approach for Efficient Prompt Engineering;2024 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB);2024-06-19

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