AI Ethics in Predictive Policing: From Models of Threat to an Ethics of Care
By Peter M. Asaro. 2019
89 citations recorded by the source corpus.
The adoption of data-driven organizational management - which includes big data, machine learning, and artificial intelligence (AI) techniques - is growing rapidly across all sectors of the knowledge economy. There is little doubt that the collection, dissemination, analysis, and use of data in government policy formation, strategic planning, decision execution, and the daily performance of duties can improve the functioning of government and the performance of public services. This is as true for law enforcement as any other government service.
Subfields: Safety Research, Sociology and Political Science, Strategy and Management, Safety, Robustness & Interpretability
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Safety Research
- Vinodkumar Prabhakaran
- Mark Ryan
- Vincent C. Müller
- Ben Hutchinson
- Nithya Sambasivan
- Paul Rodway
- Astrid Schepman
In Sociology and Political Science
In Strategy and Management
In Safety, Robustness & Interpretability
Citations in the corpus
- Re-imagining Algorithmic Fairness in India and Beyond (2021, background): “, perhaps ethics of care [22, 87, 217]) may be relevant to take into account these social relations.”
- In AI We Trust: Ethics, Artificial Intelligence, and Reliability (2020, background): “2019), to detect fraud in insurance (Kancevičienė 2019), to predict crime in law enforcement (Asaro 2019), in agriculture to increase crop yields (Ryan 2019b, 2020), in cities to reduce congestion (Ryan 2019a; Ryan and Gregory 2019), and in logistics to identify supply-chain management risks (Jiya…”
- Ethics of artificial intelligence and robotics (2020, background): “Perhaps a recent paper title points in the right direction: “AI ethics in predictive policing: From models of threat to an ethics of care” (Asaro 2019).”