Criminal justice, artificial intelligence systems, and human rights

Aleš Završník

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Artificial Intelligence in Law Digitalization, Law, and Regulation Ethics and Social Impacts of AI

Abstract

Abstract The automation brought about by big data analytics, machine learning and artificial intelligence systems challenges us to reconsider fundamental questions of criminal justice. The article outlines the automation which has taken place in the criminal justice domain and answers the question of what is being automated and who is being replaced thereby. It then analyses encounters between artificial intelligence systems and the law, by considering case law and by analysing some of the human rights affected. The article concludes by offering some thoughts on proposed solutions for remedying the risks posed by artificial intelligence systems in the criminal justice domain.

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References

1997Life on the Screen: Identity in the Age of the Internet 2015The Black Box Society 2018Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor 2016Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy 2016The Black Box Society: The Secret Algorithms That Control Money and Information 2018Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor 2017Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy 2017Human Decisions and Machine Predictions

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2024Large language models in law: A survey 2025Evaluating Trustworthiness in AI: Risks, Metrics, and Applications Across Industries 2021Algorithmic pollution: Making the invisible visible 2022Criminal courts’ artificial intelligence: the way it reinforces bias and discrimination 2024Unmasking inequalities of the code: Disentangling the nexus of AI and inequality 2021

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