Algorithmic Decision-making, Statistical Evidence and the Rule of Law

被引:0
|
作者
Chiao, Vincent [1 ]
机构
[1] Univ Toronto, Fac Law, Toronto, ON, Canada
关键词
statistical evidence; rule of law; algorithmic decision-making; legal proof; SENSITIVITY; SAFETY; PROOF; PROBABILITY; LIABILITY; ENOUGH;
D O I
10.1017/epi.2023.27
中图分类号
B [哲学、宗教];
学科分类号
01 ; 0101 ;
摘要
The rapidly increasing role of automation throughout the economy, culture and our personal lives has generated a large literature on the risks of algorithmic decision-making, particularly in high-stakes legal settings. Algorithmic tools are charged with bias, shrouded in secrecy, and frequently difficult to interpret. However, these criticisms have tended to focus on particular implementations, specific predictive techniques, and the idiosyncrasies of the American legal-regulatory regime. They do not address the more fundamental unease about the prospect that we might one day replace judges with algorithms, no matter how fair, transparent, and intelligible they become. The aim of this paper is to propose an account of the source of that unease, and to evaluate its plausibility. I trace foundational unease with algorithmic decision-making in the law to the powerful intuition that there is a basic moral and legal difference between showing that something is true of many people just like you and showing that it is true of you. Human judgment attends to the exception; automation insists on blindly applying the rule. I show how this intuitive thought is connected to both epistemological arguments about the value of statistical evidence, as well as to court-centered conceptions of the rule of law. Unease with algorithmic decision-making in the law thus draws on an intuitive principle that underpins a disparate range of views in legal philosophy. This suggests the principle is deeply ingrained. Nonetheless, I argue that the powerful intuition is not as decisive as it may seem, and indeed runs into significant epistemological and normative challenges. At an epistemological level, I show how concerns about statistical evidence's ability to track the truth can be resolved by adopting a probabilistic, rather than modal, conception of truth-tracking. At a normative level, commitment to highly individualized decision-making co-exists with equally ingrained and competing principles, such as consistent application of law. This suggests that the "rule of law" may not identify a discrete set of institutional arrangements, as proponents of a court-centric conception would have it, but rather a more loosely defined set of values that could potentially be operationalized in multiple ways, including through some level of algorithmic adjudication. Although the prospect of replacing judges with algorithms is indeed unsettling, it does not necessarily entail unreasonable verdicts or an attack on the rule of law.
引用
收藏
页数:24
相关论文
共 50 条
  • [31] DECISION-MAKING AND STATISTICAL STANDARDS
    WEBB, JE
    AMERICAN STATISTICIAN, 1965, 19 (05): : 16 - 20
  • [32] Do algorithms rule the world? Algorithmic decision-making and data protection in the framework of the GDPR and beyond
    Brkan, Maja
    INTERNATIONAL JOURNAL OF LAW AND INFORMATION TECHNOLOGY, 2019, 27 (02): : 91 - 121
  • [33] Algorithmic Pollution: Understanding and Responding to Negative Consequences of Algorithmic Decision-Making
    Marjanovic, Olivera
    Cecez-Kecmanovic, Dubravka
    Vidgen, Richard
    LIVING WITH MONSTERS?: SOCIAL IMPLICATIONS OF ALGORITHMIC PHENOMENA, HYBRID AGENCY, AND THE PERFORMATIVITY OF TECHNOLOGY, 2018, 543 : 31 - 47
  • [34] The Algorithmic Leviathan: Arbitrariness, Fairness, and Opportunity in Algorithmic Decision-Making Systems
    Creel, Kathleen
    Hellman, Deborah
    CANADIAN JOURNAL OF PHILOSOPHY, 2022, 52 (01) : 26 - 43
  • [35] An Administrative Crack in the EU's Rule of Law: Composite Decision-making and Nonjusticiable National Law
    Bastos, Filipe Brito
    EUROPEAN CONSTITUTIONAL LAW REVIEW, 2020, 16 (01) : 63 - 90
  • [36] DEVOTION TO AND THE RULE OF LAW: ACKNOWLEDGING THE ROLE OF RELIGIOUS VALUES IN JUDICIAL DECISION-MAKING
    Purohit, Priya
    INDIANA LAW JOURNAL, 2019, 94 (02) : 727 - 749
  • [37] The penholder system and the rule of law in the Security Council decision-making: Setback or improvement?
    Loiselle, Marie-Eve
    LEIDEN JOURNAL OF INTERNATIONAL LAW, 2020, 33 (01) : 139 - 156
  • [38] ALGORITHMIC DECISION-MAKING WHEN HUMANS DISAGREE ON ENDS
    Brennan-Marquez, Kiel
    Chiao, Vincent
    NEW CRIMINAL LAW REVIEW, 2021, 24 (03): : 275 - 300
  • [39] Development of algorithmic decision-making models for sea crews
    Lisitsyna, L.
    Smetyuh, N.
    Ivanovskiy, N.
    INTERNATIONAL CONFERENCE INFORMATION TECHNOLOGIES IN BUSINESS AND INDUSTRY 2018, PTS 1-4, 2018, 1015
  • [40] Artificial fairness? Trust in algorithmic police decision-making
    Hobson, Zoe
    Yesberg, Julia A.
    Bradford, Ben
    Jackson, Jonathan
    JOURNAL OF EXPERIMENTAL CRIMINOLOGY, 2023, 19 (01) : 165 - 189