AI-mediated communication: Definition, research agenda, and ethical considerations

JT Hancock, M Naaman, K Levy - Journal of Computer …, 2020 - academic.oup.com
Abstract We define Artificial Intelligence-Mediated Communication (AI-MC) as interpersonal
communication in which an intelligent agent operates on behalf of a communicator by …

Demystifying the Draft EU Artificial Intelligence Act—Analysing the good, the bad, and the unclear elements of the proposed approach

M Veale, F Zuiderveen Borgesius - Computer Law Review …, 2021 - degruyter.com
In April 2021, the European Commission proposed a Regulation on Artificial Intelligence,
known as the AI Act. We present an overview of the Act and analyse its implications, drawing …

Algorithms at work: The new contested terrain of control

KC Kellogg, MA Valentine… - Academy of management …, 2020 - journals.aom.org
The widespread implementation of algorithmic technologies in organizations prompts
questions about how algorithms may reshape organizational control. We use perspective of …

[图书][B] Fairness and machine learning: Limitations and opportunities

S Barocas, M Hardt, A Narayanan - 2023 - books.google.com
An introduction to the intellectual foundations and practical utility of the recent work on
fairness and machine learning. Fairness and Machine Learning introduces advanced …

Equity of attention: Amortizing individual fairness in rankings

AJ Biega, KP Gummadi, G Weikum - … acm sigir conference on research & …, 2018 - dl.acm.org
Rankings of people and items are at the heart of selection-making, match-making, and
recommender systems, ranging from employment sites to sharing economy platforms. As …

Measuring algorithmic fairness

D Hellman - Virginia Law Review, 2020 - JSTOR
Algorithmic decision making is both increasingly common and increasingly controversial.
Critics worry that algorithmic tools are not transparent, accountable, or fair. Assessing the …

Trusted strangers: Carework platforms' cultural entrepreneurship in the on-demand economy

J Ticona, A Mateescu - New media & society, 2018 - journals.sagepub.com
On-demand labor platforms offer many in-person services, from ride-hailing to childcare.
However, scholars have focused on ride-hailing, leading to a model of “Uberization” that …

Bias preservation in machine learning: the legality of fairness metrics under EU non-discrimination law

S Wachter, B Mittelstadt, C Russell - W. Va. L. Rev., 2020 - HeinOnline
Western societies are marked by diverse and extensive biases and inequality that are
unavoidably embedded in the data used to train machine learning. Algorithms trained on …

The paradox of automation as anti-bias intervention

I Ajunwa - Cardozo L. Rev., 2019 - HeinOnline
The automation of decision-making processes via machine learning algorithmic systems
presents itself as a legal paradox. On one hand, such automation is often an attempt to …

Reason against the machine? Future directions for mass online deliberation

R Shortall, A Itten, M Meer, P Murukannaiah… - Frontiers in Political …, 2022 - frontiersin.org
Designers of online deliberative platforms aim to counter the degrading quality of online
debates. Support technologies such as machine learning and natural language processing …