Requirements and Attitudes towards Explainable AI in Law Enforcement

Author:

Herrewijnen Elize1ORCID,Loerakker Meagan B.2ORCID,Vredenborg Marloes3ORCID,Woźniak Paweł W.2ORCID

Affiliation:

1. Policelab AI, Utrecht University, Netherlands

2. Computer Science and Engineering, Chalmers University of Technology, Sweden

3. AI & Mobility Lab, Utrecht University, Netherlands

Funder

Swedish Research Council

Publisher

ACM

Reference79 articles.

1. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

2. Alan Baddeley. 1992. Working memory. Science 255, 5044 (1 1992), 556–559.

3. Artificial Intelligence, Predictive Policing, and Risk Assessment for Law Enforcement

4. Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M F Moura, and Peter Eckersley. 2020. Explainable machine learning in deployment. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (Barcelona, Spain) (FAT* 2020). Association for Computing Machinery, New York, NY, USA, 648–657. https://doi.org/10.1145/3351095.3375624

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