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Atomist or Holist? A Diagnosis and Vision for More Productive Interdisciplinary AI Ethics Dialogue
In response to growing recognition of the social impact of new AI-based technologies, major AI and ML conferences and journals now encourage or require papers to include ethics impact statements and undergo ethics reviews.
How to "Improve" Prediction Using Behavior Modification
Such apparent "improved" prediction can result from employing reinforcement learning algorithms that combine prediction and behavior modification.
How Personal is Machine Learning Personalization?
Though used extensively, the concept and process of machine learning (ML) personalization have generally received little attention from academics, practitioners, and the general public.
Lift Up and Act! Classifier Performance in Resource-Constrained Applications
Classification tasks are common across many fields and applications where the decision maker's action is limited by resource constraints.
To Explain or to Predict?
Statistical modeling is a powerful tool for developing and testing theories by way of causal explanation, prediction, and description.
Methodology
