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FAIR Enough: Develop and Assess a FAIR-Compliant Dataset for Large Language Model Training?
14 references·0 citing·45 second hop
FAIR Enough: Develop and Assess a FAIR-Compliant Dataset for Large Language Model Training? (2024)FAIR Enough: Develop and Assess a FAIR-Co…Nbias: A natural language processing framework for BIAS identification in text (2023)Nbias: A natural language pro…ChatGPT outperforms crowd workers for text-annotation tasks (2023)ChatGPT outperforms crowd wor…AUTOGEN: A Personalized Large Language Model for Academic Enhancement—Ethics and Proof of Principle (2023)AUTOGEN: A Personalized Large…Responsible AI Systems: Who are the Stakeholders? (2022)Responsible AI Systems: Who a…Fake news detection based on news content and social contexts: a transformer-based approach (2022)Fake news detection based on …Dbias: detecting biases and ensuring fairness in news articles (2022)Dbias: detecting biases and e…StereoSet: Measuring stereotypical bias in pretrained language models (2021)StereoSet: Measuring stereoty…Reusability First: Toward FAIR Workflows (2021)Reusability First: Toward FAI…RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models (2021)RedditBias: A Real-World Reso…Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing (2021)Beyond Fair Pay: Ethical Impl…Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Bias in data‐driven artificia…Towards FAIR principles for research software (2019)Towards FAIR principles for r…The global landscape of AI ethics guidelines (2019)The global landscape of AI et…On Measuring Social Biases in Sentence Encoders (2019)On Measuring Social Biases in…Man is to Computer Programmer as Woman is to Homemaker? 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References

  • 2019The global landscape of AI ethics guidelines6,172 cited
  • 2023ChatGPT outperforms crowd workers for text-annotation tasks1,193 cited
  • 2020Bias in data‐driven artificial intelligence systems—An introductory survey1,040 cited
  • 2021StereoSet: Measuring stereotypical bias in pretrained language models643 cited
  • 2019On Measuring Social Biases in Sentence Encoders461 cited
  • 2019Towards FAIR principles for research software322 cited
  • 2022Fake news detection based on news content and social contexts: a transformer-based approach287 cited
  • 2022Responsible AI Systems: Who are the Stakeholders?110 cited
  • 2021RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models107 cited
  • 2023AUTOGEN: A Personalized Large Language Model for Academic Enhancement—Ethics and Proof of Principle105 cited
  • 2023Nbias: A natural language processing framework for BIAS identification in text72 cited
  • 2021Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing64 cited
  • 2022Dbias: detecting biases and ensuring fairness in news articles45 cited
  • 2021Reusability First: Toward FAIR Workflows16 cited

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