Humane by design: Toward safe, human‐centered multi‐agent systems

Abstract Multi‐agent systems (MAS) are helping to unleash AI from the solitary confinement of standalone applications so they can perform coordinated actions in the wider world, functioning within distributed networks of people, tools, and other agents. However, there are unique safety issues that emerge when agents move from deliberative goal formulation and alignment to performing real‐world activities in support of those goals. Considering the high‐stake opportunities and risks of MAS, a group of researchers from around the world have formed the international Multi‐Agent System Safety and Teamwork (MASST) initiative. Essays in this this AI Magazine special issue on Safety and Human‐Centered Agent Interaction —and its companion special issue on Multi‐Agent System Teamwork —have been selected from the proceedings of past MASST events. In this article, we outline some of the needed requirements for making MAS “humane by design.” Innovative research relating to these requirements is grouped under three headings: 1. governance and design; 2. guardrails, accountability, trustworthiness, and privacy; 3. reskilling, denarrowing, dialogic reasoning, empathizing, and exemplifying.

Authors

Institutions

Publication Details

Journal
AI Magazine
Published
2026-10-29
DOI
https://doi.org/10.1002/aaai.70102
Primary Topic
Multi-Agent Systems and Negotiation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Humane by design: Toward safe, human‐centered multi‐agent systems

Nancy J. Cooke, Jeffrey M. Bradshaw, Mufti Mahmud, David D. Woods et al.
AI Magazine
Multi-Agent Systems and Negotiation
article

Humane by design: Toward safe, human‐centered multi‐agent systems

Nancy J. Cooke, Jeffrey M. Bradshaw, Mufti Mahmud, David D. Woods, Michael A. Goodrich, Matthew Johnson
article en

Abstract

Abstract Multi‐agent systems (MAS) are helping to unleash AI from the solitary confinement of standalone applications so they can perform coordinated actions in the wider world, functioning within distributed networks of people, tools, and other agents. However, there are unique safety issues that emerge when agents move from deliberative goal formulation and alignment to performing real‐world activities in support of those goals. Considering the high‐stake opportunities and risks of MAS, a group of researchers from around the world have formed the international Multi‐Agent System Safety and Teamwork (MASST) initiative. Essays in this this AI Magazine special issue on Safety and Human‐Centered Agent Interaction —and its companion special issue on Multi‐Agent System Teamwork —have been selected from the proceedings of past MASST events. In this article, we outline some of the needed requirements for making MAS “humane by design.” Innovative research relating to these requirements is grouped under three headings: 1. governance and design; 2. guardrails, accountability, trustworthiness, and privacy; 3. reskilling, denarrowing, dialogic reasoning, empathizing, and exemplifying.

AI MagazineVol. 47(4)
Brigham Young University (US), Florida Institute for Human and Machine Cognition (US), King Fahd University of Petroleum and Minerals (SA), The Ohio State University (US), Arizona State University (US)
Openalex Percentile: Top 13%
Multi-Agent Systems and Negotiation
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.

Laika access coming soon
Humane by design: Toward safe, human‐centered multi‐agent systems — Nancy J. Cooke, Jeffrey M. Bradshaw, et al. · AI Magazine (2026) | TGRS Research Map | TGRS