12 papers
Bias Smells in AI Software Development: Recognizing Potential Sources of Fairness Debt
Ronnie de Souza Santos, Cleyton Magalhaes, Rodrigo Spinola
Context: Fairness debt arises from AI development shortcomings that may lead to societal harms. While technical and social debt concern software design decisions and team dynamics,…
Fairness Definitions and Metrics in Deep Reinforcement Learning for Drug Discovery in Healthcare: A Rapid Evidence Review
Esmaeil Shakeri, Ronnie de Souza Santos, Behrouz Far
Deep reinforcement learning (DRL) is increasingly applied to de novo molecular design, but choices in data, rewards, and evaluation can yield uneven performance across disease area…
Intersectional Fairness in Large Language Models
Chaima Boufaied, Ronnie De Souza Santos, Ann Barcomb
Large Language Models (LLMs) are increasingly deployed in socially sensitive settings, raising concerns about fairness and biases, particularly across intersectional demographic at…
On the Economic Implications of Diversity in Software Engineering
Sofia Tapias Montana, Ronnie de Souza Santos
This paper investigates how software professionals perceive the economic implications of diversity in software engineering teams. Motivated by a gap in software engineering researc…
How Fair is Software Fairness Testing?
Ann Barcomb, Mariana Pinheiro Bento, Giuseppe Destefanis +4
Software fairness testing is a central method for evaluating AI systems, yet the meaning of fairness is often treated as fixed and universally applicable. This vision paper positio…
The role of team diversity in AI systems development
Ronnie de Souza Santos, Maria Teresa Baldassarre, Cleyton Magalhaes
The widespread integration of AI technologies has intensified concerns about fairness and bias, as these systems often perpetuate societal inequalities through flawed data and desi…