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GDPR and Large Language Models: Technical and Legal Obstacles
6 references·0 citing·28 second hop
GDPR and Large Language Models: Technical and Legal Obstacles (2025)GDPR and Large Language Models: Technical…The EU General Data Protection Regulation (GDPR) (2024)The EU General Data Protectio…Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias (2020)Unmasking Contextual Stereoty…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…Data Lifecycle Challenges in Production Machine Learning (2018)Data Lifecycle Challenges in …How the GDPR Will Change the World (2016)How the GDPR Will Change the …A cost-based model and effective heuristic for repairing constraints by value modification (2005)A multidisciplinary survey on discrimination analysis (2013)Holistic data cleaning: Putting violations into context (2013)Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits (2022)A Survey of Data Quality Requirements That Matter in ML Development Pipelines (2023)Systematic review of data-centric approaches in artificial intelligence and machine learning (2023)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 (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Principles alone cannot guarantee ethical AI (2019)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)Ethics of AI in Education: Towards a Community-Wide Framework (2021)Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Assessing gender bias in machine translation: a case study with Google Translate (2019)Five sources of bias in natural language processing (2021)Gender and Representation Bias in GPT-3 Generated Stories (2021)Gender bias and stereotypes in Large Language Models (2023)Science faculty’s subtle gender biases favor male students (2012)Semantics derived automatically from language corpora contain human-like biases (2017)HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)French CrowS-Pairs: Extending a challenge dataset for measuring social bias in masked language models to a language other than English (2022)Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models (2022)Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models (2022)Blockchain Regulation and Governance in Europe (2018)The EU General Data Protection Regulation: Implications for International Scientific Research in the Digital Era (2018)Fit for purpose? The GDPR and the governance of European digital health (2020)Digital Regulatory Governance: The Role of RegTech and SupTech in Transforming Financial Oversight and Administrative Capacity (2025)Responsible AI in structural engineering: a framework for ethical use (2025)
this work references cited by second hop

References

  • 2019The global landscape of AI ethics guidelines6,172 cited
  • 2019The Woman Worked as a Babysitter: On Biases in Language Generation430 cited
  • 2016How the GDPR Will Change the World391 cited
  • 2018Data Lifecycle Challenges in Production Machine Learning213 cited
  • 2024The EU General Data Protection Regulation (GDPR)153 cited
  • 2020Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias65 cited

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