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A Voting-Based System for Ethical Decision Making

AAAI 2018 · Large language models › AI and society · approach: Data commons and human baselines · 144 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Increase pairwise comparisons per voter from 30 to 100TM preference learning · Synthetic data, N=20accuracy: 84.3% -> 92.4%Helped
Summarize voter models by averaging their parametersTM aggregation · Synthetic data, Step IIIaccuracy: 93.9%Helped
Use a single mean-parameter TM model instead of the mean voter profileEthical decision system · Moral Machineaccuracy: 98.2% at 2 alternatives; 95.1% at 10Mixed
Increase the number of pairwise comparisons per voterTM preference learning · Synthetic data, N=40accuracy: 89.3% -> 94.9%Helped
Use 3 alternatives per instanceTM preference learning · Synthetic data, Step IIaccuracy: 88.8% with 30 comparisons; 93.5% with 100 comparisonsMixed
Use 3 alternatives per instanceMean-parameter TM summary · Synthetic data, Step IIIaccuracy: 96.2%Helped
Increase feature dimension to d=20TM preference learning · Synthetic data, Step IIaccuracy: 74.6% with 30 comparisons; 88.2% with 100 comparisonsHurt
Increase feature dimension to d=20Mean-parameter TM summary · Synthetic data, Step IIIaccuracy: 94.7%Helped

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