Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities
JK Paulus, DM Kent - NPJ digital medicine, 2020 - nature.com
The machine learning community has become alert to the ways that predictive algorithms
can inadvertently introduce unfairness in decision-making. Herein, we discuss how concepts …
can inadvertently introduce unfairness in decision-making. Herein, we discuss how concepts …
Fairness in recommender systems: research landscape and future directions
Recommender systems can strongly influence which information we see online, eg, on
social media, and thus impact our beliefs, decisions, and actions. At the same time, these …
social media, and thus impact our beliefs, decisions, and actions. At the same time, these …
Fairness and explanation in AI-informed decision making
A Angerschmid, J Zhou, K Theuermann… - Machine Learning and …, 2022 - mdpi.com
AI-assisted decision-making that impacts individuals raises critical questions about
transparency and fairness in artificial intelligence (AI). Much research has highlighted the …
transparency and fairness in artificial intelligence (AI). Much research has highlighted the …
The emergence of economic rationality of GPT
As large language models (LLMs) like GPT become increasingly prevalent, it is essential
that we assess their capabilities beyond language processing. This paper examines the …
that we assess their capabilities beyond language processing. This paper examines the …
How computers see gender: An evaluation of gender classification in commercial facial analysis services
MK Scheuerman, JM Paul, JR Brubaker - Proceedings of the ACM on …, 2019 - dl.acm.org
Investigations of facial analysis (FA) technologies-such as facial detection and facial
recognition-have been central to discussions about Artificial Intelligence's (AI) impact on …
recognition-have been central to discussions about Artificial Intelligence's (AI) impact on …
The contribution of data-driven technologies in achieving the sustainable development goals
The United Nations' Sustainable Development Goals (SDGs) set out to improve the quality of
life of people in developed, emerging, and developing countries by covering social and …
life of people in developed, emerging, and developing countries by covering social and …
How we've taught algorithms to see identity: Constructing race and gender in image databases for facial analysis
Race and gender have long sociopolitical histories of classification in technical
infrastructures-from the passport to social media. Facial analysis technologies are …
infrastructures-from the passport to social media. Facial analysis technologies are …
It's compaslicated: The messy relationship between rai datasets and algorithmic fairness benchmarks
Risk assessment instrument (RAI) datasets, particularly ProPublica's COMPAS dataset, are
commonly used in algorithmic fairness papers due to benchmarking practices of comparing …
commonly used in algorithmic fairness papers due to benchmarking practices of comparing …
A review of predictive policing from the perspective of fairness
K Alikhademi, E Drobina, D Prioleau… - Artificial Intelligence and …, 2022 - Springer
Abstract Machine Learning has become a popular tool in a variety of applications in criminal
justice, including sentencing and policing. Media has brought attention to the possibility of …
justice, including sentencing and policing. Media has brought attention to the possibility of …
Prediction-based decisions and fairness: A catalogue of choices, assumptions, and definitions
A recent flurry of research activity has attempted to quantitatively define" fairness" for
decisions based on statistical and machine learning (ML) predictions. The rapid growth of …
decisions based on statistical and machine learning (ML) predictions. The rapid growth of …