When is Deception OK? Developing the IEEE Recommended Practice for Ethical Considerations of Emulated Empathy in Partner-based General-Purpose Artificial Intelligence Systems (IEEE P7014.1)

This paper introduces work by the IEEE P7014.1 Working Group on the Recommended Practice for Ethical Considerations of Emulated Empathy in Partner-based General-Purpose Artificial Intelligence Systems. This paper briefly details the scope and parameters of the standard, why it matters, and key ethical problems found regarding use of modern AI systems that emulate empathy for human AI-partnering. Some of these problems are fairly obvious, and others are less so, but no less important. A few however require deeper consideration because, like many important ethical discussions, they do not have easy answers. One such question is when is deception in human-computer interaction acceptable, particularly where deception overlaps with animism and anthropomorphism and may be exacerbated by emulations of empathy? This paper lingers on this question, drawing on philosophical and ethical discussion about the nature of deception, contexts where it is acceptable and beneficial, and contexts where it is morally out of scope.

Authors

Institutions

Publication Details

Published
2024-09-18
DOI
https://doi.org/10.1109/istas61960.2024.10732349
Citations
4
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
2.10
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

When is Deception OK? Developing the IEEE Recommended Practice for Ethical Considerations of Emulated Empathy in Partner-based General-Purpose Artificial Intelligence Systems (IEEE P7014.1)

Phoebe Li, Andrew McStay, Alex Laffer, Vian Bakir et al.
4 citations
Ethics and Social Impacts of AI
2.10
article

When is Deception OK? Developing the IEEE Recommended Practice for Ethical Considerations of Emulated Empathy in Partner-based General-Purpose Artificial Intelligence Systems (IEEE P7014.1)

Phoebe Li, Andrew McStay, Alex Laffer, Vian Bakir, Karen Bennet, Ben Bland
article en
4 citations

Abstract

This paper introduces work by the IEEE P7014.1 Working Group on the Recommended Practice for Ethical Considerations of Emulated Empathy in Partner-based General-Purpose Artificial Intelligence Systems. This paper briefly details the scope and parameters of the standard, why it matters, and key ethical problems found regarding use of modern AI systems that emulate empathy for human AI-partnering. Some of these problems are fairly obvious, and others are less so, but no less important. A few however require deeper consideration because, like many important ethical discussions, they do not have easy answers. One such question is when is deception in human-computer interaction acceptable, particularly where deception overlaps with animism and anthropomorphism and may be exacerbated by emulations of empathy? This paper lingers on this question, drawing on philosophical and ethical discussion about the nature of deception, contexts where it is acceptable and beneficial, and contexts where it is morally out of scope.

Bangor University (GB), University of Sussex (GB), University of Winchester (GB)
Openalex Percentile: Top 11%
Ethics and Social Impacts of AI
2.10
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.

When is Deception OK? Developing the IEEE Recommended Practice for Ethical Considerations of Emulated Empathy in Partner-based General-Purpose Artificial Intelligence Systems (IEEE P7014.1) — Phoebe Li, Andrew McStay, et al. · (2024) | TGRS Research Map | TGRS