Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: what can they learn from each other?

10 references·16 citing·46 second hop

FromToDepth

this work references cited by second hop

References

2019The Brussels Effect1,336 cited
2017Algorithmic Bias in Autonomous Systems472 cited
2017Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness403 cited
2019The Role and Limits of Principles in AI Ethics399 cited
2021The ethics of algorithms: key problems and solutions384 cited
2021Judgment159 cited
2021Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation152 cited
2018Inherent Trade-Offs in Algorithmic Fairness125 cited
2022Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation115 cited
2021The End of an Era: from Self-Regulation to Hard Law for the Digital Industry58 cited

Cited by

2023Algorithmic Accountability51 cited
2024The ALTAI checklist as a tool to assess ethical and legal implications for a trustworthy AI development in education45 cited
2025Biases in AI: acknowledging and addressing the inevitable ethical issues36 cited
2023The E.U.’s artificial intelligence act: an ordoliberal assessment32 cited
2023When facial recognition does not ‘recognise’: erroneous identifications and resulting liabilities

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

32 cited

2023Keep trusting! A plea for the notion of Trustworthy AI32 cited

2023Ethics and Trustworthiness of AI for Predicting the Risk of Recidivism: A Systematic Literature Review30 cited

2024Competing narratives in AI ethics: a defense of sociotechnical pragmatism29 cited

2024Balancing the tradeoff between regulation and innovation for artificial intelligence: An analysis of top-down command and control and bottom-up self-regulatory approaches24 cited

2025Human-Controllable AI: Meaningful Human Control22 cited

2022Artificial intelligence by any other name: a brief history of the conceptualization of “trustworthy artificial intelligence”22 cited

2023Personality and demographic correlates of support for regulating artificial intelligence22 cited

2024Regulating under Uncertainty: Governance Options for Generative AI21 cited

2024AI-Related Risk: An Epistemological Approach20 cited

2023AI ethics and ordoliberalism 2.0: towards a ‘Digital Bill of Rights’19 cited

2023The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems18 cited