From preference elicitation to participatory ML: A critical survey & guidelines for future research
The AI Ethics community faces an imperative to empower stakeholders and impacted
community members so that they can scrutinize and influence the design, development, and …
community members so that they can scrutinize and influence the design, development, and …
Fair bayesian optimization
Given the increasing importance of machine learning (ML) in our lives, several algorithmic
fairness techniques have been proposed to mitigate biases in the outcomes of the ML …
fairness techniques have been proposed to mitigate biases in the outcomes of the ML …
Bridging machine learning and mechanism design towards algorithmic fairness
Decision-making systems increasingly orchestrate our world: how to intervene on the
algorithmic components to build fair and equitable systems is therefore a question of utmost …
algorithmic components to build fair and equitable systems is therefore a question of utmost …
Who gets what, according to whom? An analysis of fairness perceptions in service allocation
Algorithmic fairness research has traditionally been linked to the disciplines of philosophy,
ethics, and economics, where notions of fairness are prescriptive and seek objectivity …
ethics, and economics, where notions of fairness are prescriptive and seek objectivity …
Fair governance with humans and machines
Y Hermstrüwer, P Langenbach - MPI Collective Goods Discussion …, 2022 - papers.ssrn.com
How fair do people perceive government decisions based on algorithmic predictions? And
to what extent can the government delegate decisions to machines without sacrificing …
to what extent can the government delegate decisions to machines without sacrificing …
Fair governance with humans and machines.
Y Hermstrüwer, P Langenbach - Psychology, Public Policy, and …, 2023 - psycnet.apa.org
How fair do people perceive government decisions based on algorithmic predictions? And
to what extent can the government delegate decisions to machines without sacrificing …
to what extent can the government delegate decisions to machines without sacrificing …
Hyperparameter optimization using fairness constraints
Hyperparameters for tuning a machine learning system may be optimized for fairness using
Bayesian optimization with constraints for accuracy and bias. Hyperparameter optimization …
Bayesian optimization with constraints for accuracy and bias. Hyperparameter optimization …
[PDF][PDF] Fairness in Online Ad Auctions: the Role of the Auction Mechanism
S Giesch - capuana.ifi.uzh.ch
Online advertisement has seen a steep growth in the past two decades due to the rapid
digitalization. Different from traditional advertising, the display of online ads is often aided by …
digitalization. Different from traditional advertising, the display of online ads is often aided by …
[LIVRE][B] Formalizing and Testing Computational Cognitive Models of Social Collaboration
V Gates - 2021 - vaelgates.com
We live in a complex world, which we navigate with the help of others. However, social
interaction itself is complex and often implicit. How do we think differently in the presence of …
interaction itself is complex and often implicit. How do we think differently in the presence of …