Moor’s ‘Are There Decisions Computers Should Never Make?’

Abstract ‘Are There Decisions Computers Should Never Make?’ is one of James H. Moor’s many groundbreaking papers in computer ethics, and it is one that I have thought a good deal about since its publication in 1979 and especially in recent years in relation to current discourse on AI. In this paper, I describe Jim’s analysis, reflect on its relevance to current thinking about AI, and take issue with several of his arguments. The conclusion of Jim’s paper is that computers should never choose human values and goals. I suggest that this is not possible because of the nature of values and how they are intertwined in computer decision making.

Authors

Institutions

Publication Details

Journal
Minds and Machines
Published
2025-03-15
DOI
https://doi.org/10.1007/s11023-025-09719-y
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Moor’s ‘Are There Decisions Computers Should Never Make?’

Deborah G. Johnson
Minds and Machines
Ethics and Social Impacts of AI
article

Moor’s ‘Are There Decisions Computers Should Never Make?’

Deborah G. Johnson
article en

Abstract

Abstract ‘Are There Decisions Computers Should Never Make?’ is one of James H. Moor’s many groundbreaking papers in computer ethics, and it is one that I have thought a good deal about since its publication in 1979 and especially in recent years in relation to current discourse on AI. In this paper, I describe Jim’s analysis, reflect on its relevance to current thinking about AI, and take issue with several of his arguments. The conclusion of Jim’s paper is that computers should never choose human values and goals. I suggest that this is not possible because of the nature of values and how they are intertwined in computer decision making.

Minds and MachinesVol. 35(2)
University of Virginia (US)
Openalex Percentile: Top 96%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.