What question did this study set out to answer?

To examine algorithmic bias as a fundamental legal challenge within AI governance and evaluate how existing regulatory mechanisms in the United States and European Union address algorithmic risks.

June 12, 2025LawsOpen Access

Algorithmic Bias as a Core Legal Dilemma in the Age of Artificial Intelligence: Conceptual Basis and the Current State of Regulation

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Authors

GLGergely Ferenc LendvaiLudovika University of Public Service GGGergely GosztonyiEötvös Loránd University

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Implication

Comparative legal analysis reveals critical enforcement gaps across US and EU frameworks, highlighting the need for harmonized global standards to mitigate algorithmic bias.

Key Points

To examine algorithmic bias as a fundamental legal challenge within AI governance and evaluate how existing regulatory mechanisms in the United States and European Union address algorithmic risks.
Conducted a comparative legal analysis evaluating fragmented United States regulatory approaches alongside European Union frameworks, including the GDPR, Digital Services Act (DSA), and AI Act.
Analyzed regulatory texts to assess legal instruments concerning risk classification, transparency requirements, and fairness standards.
Identified persistent enforcement gaps created by opaque black-box algorithmic designs that hinder bias detection, remediation, and protection for marginalized groups.
Found structural imbalances in existing legal frameworks, which frequently lack the technical and ethical capacity required for effective regulatory implementation.
Demonstrated that regional frameworks are insufficient to regulate transnational AI systems, necessitating harmonized international standards to prevent the compounding of systemic inequalities.

Cite This Study

Lendvai et al. (2025) studied this question.

synapsesocial.com/papers/6a03cf4db625f8251ec89c88 https://doi.org/10.3390/laws14030041

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Implication

Comparative legal analysis reveals critical enforcement gaps across US and EU frameworks, highlighting the need for harmonized global standards to mitigate algorithmic bias.

Algorithmic Bias as a Core Legal Dilemma in the Age of Artificial Intelligence: Conceptual Basis and the Current State of Regulation

Discussion

Member takes

Implication

Key Points

Cite This Study

Algorithmic Bias as a Core Legal Dilemma in the Age of Artificial Intelligence: Conceptual Basis and the Current State of Regulation

Discussion

Member takes

Implication

Key Points

Cite This Study

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