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Simons Institute: Prediction, Incentives & Causal Intervention →0/18
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Triage Score: A Counterfactual Risk Assessment Instrument (SIMONS-ECON)

39:56
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LLM-Guided Reinforcement Learning for Mastery Learning: Large-Scale Field Evidence (SIMONS-ECON)

35:06
3

Non-parametric Causal Inference in Dynamic Thresholding Designs (SIMONS-ECON)

30:21
4

Agreement and Alignment for Human-AI Collaborative Decision Making (SIMONS-ECON)

45:21
5

Human Values in Clinical Algorithms, Old and New (SIMONS-ECON)

38:46
6

When Prediction Becomes Policy: What Do Risk Models Actually Learn? (SIMONS-ECON)

33:31
7

Evaluating Probabilistic Decision Making by LLMs: A Decision-Theoretic Framework and Application (SIMONS-ECON)

32:16
8

Algorithmic UDAP (SIMONS-ECON)

32:13
9

Operational Dosage: The Impact of Capacity Constraints on RCT Evaluation (SIMONS-ECON)

35:01
10

The Role of Standardized Tests in Admissions: Predictions vs. Decisions (SIMONS-ECON)

33:37
11

Individual Gaps in Prediction Generalization (SIMONS-ECON)

30:41
12

Beyond Prediction Performance: How Modeling Decisions Shape Fairness Outcomes in Statistical Profiling (SIMONS-ECON)

27:56
13

The Feedback Loop of Statistical Discrimination (SIMONS-ECON)

32:03
14

Decision Theoretic Foundations for Human-AI Collaboration (SIMONS-ECON)

31:01
15

Evaluation Design (SIMONS-ECON)

29:16
16

Recommendation in Equilibrium for the NYC High School Match (SIMONS-ECON)

32:51
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Automating the US Welfare State: Historical Experiments in Technological Federalism (SIMONS-ECON)

35:41
18

On Machine Learning for Prediction and Prioritization in the Allocation of Scarce Societal Resources (SIMONS-ECON)

35:26

Human Values in Clinical Algorithms, Old and New (SIMONS-ECON)

Arjun Kumar ManraiSimons Institute (UC Berkeley)

Professor

38:46·2026·research level

This presentation discusses the embedding of human values in clinical algorithms, examining how both traditional equations and large language models influence diagnostic reasoning and management.

Systems & CSTheory & AlgosEconomicsAlgorithms & Data StructuresLanguage Models & NLPMoral & Political PhilosophyClinical Algorithms

Arjun Kumar Manrai

Bridging Prediction and Intervention Problems in Social Systems

I will discuss issues around human values embedded in both widely-used clinical equations and recent large language models being used in clinical care. I will discuss how the behavior of models, both old and new, can be steered including the potential for substantial changes to diagnostic and management reasoning.

Previous · Lecture 4

Agreement and Alignment for Human-AI Collaborative Decision Making (SIMONS-ECON)

Next · Lecture 6

When Prediction Becomes Policy: What Do Risk Models Actually Learn? (SIMONS-ECON)

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