Open AccessAlgorithms of Machines and Law
Author(s) -
Michael Losavio
Publication year - 2021
Publication title -
public governance, administration and finances law review
Language(s) - English
Resource type - Journals
eISSN - 2786-0736
pISSN - 2498-6275
DOI - 10.53116/pgaflr.2021.2.3
Subject(s) - harm , subject (documents) , computer science , artificial intelligence , graphics , corporate governance , object (grammar) , law , political science , management , economics , world wide web , computer graphics (images)
Pattern recognition, machine learning and artificial intelligence offer tremendous opportunities for efficient operations, management and governance. They can optimise processes for object, text, graphics, speech and pattern recognition. In doing so the algorithmic processing may be subject to unknown biases that do harm rather than good. We examine how this may happen, what damage may occur and the resulting ethical/legal impact and newly manifest obligations to avoid harm to others from these systems. But what are the risks, given the Human Condition?