Evidence map›Paper›PMID 35369362›Full record

ArticleAutonomous agents and multi-agent systems2022

What values should an agent align with?: An empirical comparison of general and context-specific values.

Enrico Liscio, Michiel van der Meer, Luciano C Siebert, Catholijn M Jonker, Pradeep K Murukannaiah

Abstract read
In one paragraph

Article in Autonomous agents and multi-agent systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Enrico LiscioDelft University of Technology: Technische Universiteit Delft, Delft, The Netherlands.
Michiel van der MeerDelft University of Technology: Technische Universiteit Delft, Delft, The Netherlands.
Luciano C SiebertDelft University of Technology: Technische Universiteit Delft, Delft, The Netherlands.
Catholijn M JonkerDelft University of Technology: Technische Universiteit Delft, Delft, The Netherlands.
Pradeep K MurukannaiahDelft University of Technology: Technische Universiteit Delft, Delft, The Netherlands.ORCID 0000-0002-1261-6908

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pursuit of values drives human behavior and promotes cooperation. Existing research is focused on general values (e.g., Schwartz) that transcend contexts. However, context-specific values are necessary to (1) understand human decisions, and (2) engineer intelligent agents that can elicit and align with human values. We propose Axies, a hybrid (human and AI) methodology to identify context-specific values. Axies simplifies the abstract task of value identification as a guided value annotation process involving human annotators. Axies exploits the growing availability of value-laden text corpora and Natural Language Processing to assist the annotators in systematically identifying context-specific values. We evaluate Axies in a user study involving 80 human subjects. In our study, six annotators generate value lists for two timely and important contexts: Covid-19 measures and sustainable Energy. We employ two policy experts and 72 crowd workers to evaluate Axies value lists and compare them to a list of general (Schwartz) values. We find that Axies yields values that are (1) more context-specific than general values, (2) more suitable for value annotation than general values, and (3) independent of the people applying the methodology. Supplementary Information: The online version contains supplementary material available at 10.1007/s10458-022-09550-0.

Indexed as

AxiesContextEthicsNLPSchwartzValues

Identifiers

PMID35369362
PMCPMC8958938

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.