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A DSL for Testing LLMs for Fairness and Bias
16 references·0 citing·42 second hop
A DSL for Testing LLMs for Fairness and Bias (2024)A DSL for Testing LLMs for Fairness and B…Typology of Risks of Generative Text-to-Image Models (2023)Typology of Risks of Generati…Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale (2023)Easily Accessible Text-to-Ima…StereoSet: Measuring stereotypical bias in pretrained language models (2021)StereoSet: Measuring stereoty…Putting AI ethics to work: are the tools fit for purpose? (2021)Putting AI ethics to work: ar…Operationalising AI ethics: how are companies bridging the gap between practice and principles? An exploratory study (2021)Operationalising AI ethics: h…Operationalising AI ethics: barriers, enablers and next steps (2021)Operationalising AI ethics: b…Investigating Gender Bias in BERT (2021)Investigating Gender Bias in …Ethics as a Service: A Pragmatic Operationalisation of AI Ethics (2021)Ethics as a Service: A Pragma…BOLD (2021)BOLDPrincipled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI (2020)Principled Artificial Intelli…Beyond the promise: implementing ethical AI (2020)Beyond the promise: implement…The Woman Worked as a Babysitter: On Biases in Language Generation (2019)The Woman Worked as a Babysit…The global landscape of AI ethics guidelines (2019)The global landscape of AI et…Evaluating the Underlying Gender Bias in Contextualized Word Embeddings (2019)Evaluating the Underlying Gen…AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)AI4People—An Ethical Framewor…The Ethics of Computing (2016)The Ethics of ComputingPreferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. 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References

  • 2019The global landscape of AI ethics guidelines6,172 cited
  • 2018AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations4,732 cited
  • 2020Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI998 cited
  • 2021StereoSet: Measuring stereotypical bias in pretrained language models643 cited
  • 2019The Woman Worked as a Babysitter: On Biases in Language Generation430 cited
  • 2023Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale340 cited
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  • 2021BOLD242 cited
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  • 2019Evaluating the Underlying Gender Bias in Contextualized Word Embeddings190 cited
  • 2016The Ethics of Computing133 cited
  • 2023Typology of Risks of Generative Text-to-Image Models121 cited
  • 2021Investigating Gender Bias in BERT112 cited

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  • 2021Operationalising AI ethics: how are companies bridging the gap between practice and principles? An exploratory study84 cited
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