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Article

Yeung, Karen and Harkens, Adam (2023) How do "technical" design choices made when building algorithmic decision-making tools for criminal justice authorities create constitutional dangers? : (Part I). Public Law, 2023 (April). pp. 265-286. ISSN 0033-3565

Yeung, Karen and Harkens, Adam (2023) How do "technical" design-choices made when building algorithmic decision-making tools for criminal justice authorities create constitutional dangers? : (Part II). Public Law, 2023 (April). pp. 448-472. ISSN 0033-3565

Harkens, Adam and Yeung, Karen and Felfeli, Julia and Achtziger, Anja and Koenig, Pascal and Krafft, Tobias and Schulz, Wolfgang and Wenzelburger, Georg and Zweig, Katharina (2020) The rise of AI-based decision-making tools in the criminal justice system : implications for judicial integrity. Commonwealth Judicial Journal, 25 (2). pp. 18-26.

Tomlinson, Joe and Sheridan, Katy and Harkens, Adam (2020) Judicial review evidence in the era of the digital state. Public Law, October 2 (4). pp. 740-760. ISSN 0033-3565

Morison, John and Harkens, Adam (2019) Re-engineering justice? Robot judges, computerized courts and semi-automated legal decision-making. Legal Studies, 39 (4). pp. 618-635. ISSN 0261-3875

Harkens, Adam (2019) Fairness in algorithmic decision-making : tradeoffs, policy choices and procedural protections. Amicus Curiae, 1 (1). pp. 84-96. ISSN 1461-2097

Harkens, Adam (2018) The ghost in the legal machine : algorithmic governmentality, economy, and the practice of law. Journal of Information, Communication and Ethics in Society, 16 (1). pp. 16-31. ISSN 1477-996X

Book Section

Harkens, Adam; (2024) How algorithmic policing challenges fundamental rights protection in the EU : lessons from the United Kingdom. In: The Challenges of Artificial Intelligence for Law in Europe. A Springer book series Data Science, Machine Intelligence, and Law . Springer. (In Press)

Other

Damen, Wes and Harkens, Adam and Li, Wenlong and Ahmed-Rengers, Emma and Yeung, Karen (2021) Data protection in post-Brexit Britain : a response to the government of the United Kingdom's public consultation on reforms to the data protection regime ("Data: A new direction"). SocArXiv, Ithaca, NY.

Smuha, Nathalie A. and Ahmed-Rengers, Emma and Harkens, Adam and Li, Wenlong and MacLaren, James and Piselli, Riccardo and Yeung, Karen (2021) How the EU can achieve legally trustworthy AI : a response to the European Commission's proposal for an Artificial Intelligence Act. SSRN, Rochester, NY.