A Romei, S Ruggieri - The Knowledge Engineering Review, 2014 - cambridge.org
The collection and analysis of observational and experimental data represent the main tools for assessing the presence, the extent, the nature, and the trend of discrimination …
In recent years a substantial literature has emerged concerning bias, discrimination, and fairness in artificial intelligence (AI) and machine learning. Connecting this work to existing …
Data-driven decision-making consequential to individuals raises important questions of accountability and justice. Indeed, European law provides individuals limited rights …
L Floridi, M Taddeo - … Transactions of the Royal Society A …, 2016 - royalsocietypublishing.org
This theme issue has the founding ambition of landscaping data ethics as a new branch of ethics that studies and evaluates moral problems related to data (including generation …
Algorithmic decision-making and other types of artificial intelligence (AI) can be used to predict who will commit crime, who will be a good employee, who will default on a loan, etc …
M Veale, R Binns - Big Data & Society, 2017 - journals.sagepub.com
Decisions based on algorithmic, machine learning models can be unfair, reproducing biases in historical data used to train them. While computational techniques are emerging to …
Page 1 Smolní Technologies cind the Mireille Hildebrandt Page 2 Smart Technologies and the End(s) of Law Page 3 for Maria and Chantal and for Ludo Page 4 Smart Technologies and the …
F Zuiderveen Borgesius - Council of Europe, Directorate General of …, 2018 - pure.uva.nl
This report, written for the Anti-discrimination department of the Council of Europe, concerns discrimination caused by algorithmic decision-making and other types of artificial …
Online and social media platforms employ automated recognition methods to presume user preferences, sensitive attributes such as race, gender, sexual orientation, and opinions …