On big data, artificial intelligence and smart cities
Cities are increasingly turning towards specialized technologies to address issues related to
society, ecology, morphology and many others. The emerging concept of Smart Cities highly …
society, ecology, morphology and many others. The emerging concept of Smart Cities highly …
A multidisciplinary survey on discrimination analysis
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 …
for assessing the presence, the extent, the nature, and the trend of discrimination …
Why fairness cannot be automated: Bridging the gap between EU non-discrimination law and AI
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 …
fairness in artificial intelligence (AI) and machine learning. Connecting this work to existing …
'It's Reducing a Human Being to a Percentage' Perceptions of Justice in Algorithmic Decisions
Data-driven decision-making consequential to individuals raises important questions of
accountability and justice. Indeed, European law provides individuals limited rights …
accountability and justice. Indeed, European law provides individuals limited rights …
What is data ethics?
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 …
ethics that studies and evaluates moral problems related to data (including generation …
Strengthening legal protection against discrimination by algorithms and artificial intelligence
FJ Zuiderveen Borgesius - The International Journal of Human …, 2020 - Taylor & Francis
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 …
predict who will commit crime, who will be a good employee, who will default on a loan, etc …
Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data
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 …
in historical data used to train them. While computational techniques are emerging to …
[图书][B] Smart technologies and the end (s) of law: novel entanglements of law and technology
M Hildebrandt - 2015 - books.google.com
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 …
End(s) of Law Page 3 for Maria and Chantal and for Ludo Page 4 Smart Technologies and the …
[PDF][PDF] Discrimination, artificial intelligence, and algorithmic decision-making
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 …
discrimination caused by algorithmic decision-making and other types of artificial …
[HTML][HTML] A little bird told me your gender: Gender inferences in social media
Online and social media platforms employ automated recognition methods to presume user
preferences, sensitive attributes such as race, gender, sexual orientation, and opinions …
preferences, sensitive attributes such as race, gender, sexual orientation, and opinions …