Litigating artificial intelligence:

"Machine-learning algorithms are improving and automating human performance in a variety of sectors. Our judicial institutions are now looking at machine learning to improve administrative decision-making and service delivery. Some provinces are looking at predictive risk assessment tools to gu...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Weitere Verfasser: Presser, Jill R. (HerausgeberIn), Beatson, Jesse (HerausgeberIn), Chan, Gerald J. (HerausgeberIn)
Format: Buch
Sprache:English
Veröffentlicht: Toronto, Canada Emond 2021
Ausgabe:2021/2022 edition, reprinted July 2022
Schriftenreihe:Emond professional series
Schlagworte:
Zusammenfassung:"Machine-learning algorithms are improving and automating human performance in a variety of sectors. Our judicial institutions are now looking at machine learning to improve administrative decision-making and service delivery. Some provinces are looking at predictive risk assessment tools to guide them in their bail decisions. Some U.S. courts are already using them. While AI can be designed to help humans make better decisions, there is a risk that we end up delegating too much decision-making to algorithms. Litigation will be the central tool in protecting people against AI abuses. The first of its kind in Canada, this annual publication will be a guidebook for all litigators, allowing them to prepare for how the AI revolution will impact their litigation practice. The general editor team, joined by expert contributors, discuss AI's effect on litigation in four major areas: 1) AI tools as decision-makers; 2) AI-generated evidence; 3) AI as the subject matter in civil litigation or civil rights claims; and 4) AI-enabled litigation support tools."--
Beschreibung:xxxiii, 590 Seiten 23 cm
ISBN:9781772557640

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