From the Fair Distribution of Predictions to the Fair Distribution of Social Goods: Evaluating the Impact of Fair Machine Learning on Long-Term Unemployment
Deploying an algorithmically informed policy is a significant intervention in society.
Prominent methods for algorithmic fairness focus on the distribution of predictions at the time …
Prominent methods for algorithmic fairness focus on the distribution of predictions at the time …
The origins of unpredictability in life outcome prediction tasks
I Lundberg, R Brown-Weinstock… - Proceedings of the …, 2024 - National Acad Sciences
Why are some life outcomes difficult to predict? We investigated this question through in-
depth qualitative interviews with 40 families sampled from a multidecade longitudinal study …
depth qualitative interviews with 40 families sampled from a multidecade longitudinal study …
The Relative Value of Prediction in Algorithmic Decision Making
JC Perdomo - arxiv preprint arxiv:2312.08511, 2023 - arxiv.org
Algorithmic predictions are increasingly used to inform the allocations of goods and
interventions in the public sphere. In these domains, predictions serve as a means to an …
interventions in the public sphere. In these domains, predictions serve as a means to an …
A Conceptual Framework for Ethical Evaluation of Machine Learning Systems
Research in Responsible AI has developed a range of principles and practices to ensure
that machine learning systems are used in a manner that is ethical and aligned with human …
that machine learning systems are used in a manner that is ethical and aligned with human …
Allocation Requires Prediction Only if Inequality Is Low
Algorithmic predictions are emerging as a promising solution concept for efficiently
allocating societal resources. Fueling their use is an underlying assumption that such …
allocating societal resources. Fueling their use is an underlying assumption that such …
Score design for multi-criteria incentivization
We present a framework for designing scores to summarize performance metrics. Our
design has two multi-criteria objectives:(1) improving on scores should improve all …
design has two multi-criteria objectives:(1) improving on scores should improve all …
[PDF][PDF] BRIDGING PREDICTION AND INTERVENTION PROBLEMS IN SOCIAL SYSTEMS
Over 60% of the US population lives in a jurisdiction that uses a RAT, or “Risk Assessment
Tool”, such as the COMPAS for pre-trial risk assessment [9].“Millions of clinicians and more …
Tool”, such as the COMPAS for pre-trial risk assessment [9].“Millions of clinicians and more …