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1
Introduction
2
How People Make Decisions
3
How People Make Choices
4
Online Dating
5
The Model
6
Key Learning
7
Compensatory vs Non Compensatory Evaluation
8
Results
9
Summary
10
Cat or Dog
11
Image Classification Benchmark
12
Open AI
13
Human Behavior
14
Computer Science Psychology
15
Risky Choice Problem
16
Choice Prediction Competition
17
Data Collection
18
Evaluating Models
19
Expected Utility Theory
20
Prospect Theory
21
Validation Error
22
Literature
23
Estimates
24
Data
25
Domain
26
Data Set
27
Rational Choice Model
28
Utilitarian Model
29
Exploratory Data Analysis
30
Residuals
31
Scientific Regret minimization
32
Neural Network Residuals
33
Complex High Order Effects
34
Unexpected Interactions
35
Conclusions
Description:
Explore the intersection of artificial intelligence and social sciences in this thought-provoking conference talk featuring two expert speakers. Delve into the transformative potential and challenges arising from the dialogue between these fields. Learn about decision rules in mate selection as Elizabeth Bruch from the University of Michigan presents her research on online dating behavior. Discover how human behavior is becoming the next frontier for AI with insights from Thomas Griffiths of Princeton University. Engage in a moderated discussion and Q&A session led by Jacob Foster from UCLA. Gain valuable insights into topics such as decision-making processes, choice prediction, image classification benchmarks, and the application of AI in understanding human behavior. Examine various models and theories, including expected utility theory, prospect theory, and rational choice models, while exploring the potential of neural networks and complex data analysis in social science research.

Re-Imagining the Social Sciences in the Age of AI - March 4, 2020

Institute for Advanced Study
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