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Generative AI and Perceptual Harms: Who's Suspected of using LLMs?
16 references·0 citing·45 second hop
Generative AI and Perceptual Harms: Who's Suspected of using LLMs? 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References

  • 2021A Survey on Bias and Fairness in Machine Learning6,499 cited
  • 2004Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination5,025 cited
  • 2023Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning2,993 cited
  • 2007Getting a Job: Is There a Motherhood Penalty?2,575 cited
  • 2023Experimental evidence on the productivity effects of generative artificial intelligence2,124 cited
  • 2019Fairness and Abstraction in Sociotechnical Systems1,850 cited
  • 2023Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond1,126 cited
  • 2022Taxonomy of Risks posed by Language Models861 cited
  • 2023Art and the science of generative AI783 cited
  • 2021StereoSet: Measuring stereotypical bias in pretrained language models773 cited
  • 2021Persistent Anti-Muslim Bias in Large Language Models524 cited
  • 2017Long-Term Trends in the Public Perception of Artificial Intelligence492 cited
  • 2024Generative artificial intelligence, human creativity, and art455 cited
  • 2020Artificial intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetry441 cited

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  • 2023Gender bias and stereotypes in Large Language Models433 cited
  • 2021Gender and Representation Bias in GPT-3 Generated Stories287 cited
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