AI, Trust, and Teaming: The Humans-as-Handlers Approach for Autonomous and Opaque AI Systems
Artificial intelligence (AI) is becoming ubiquitous, and across domains, increasingly autonomous systems are carrying out tasks which raise significant ethical and legal challenges which demonstrate a need for strong human-machine teams rooted in trust. In this article, I argue that within highly impactful areas (such as medicine or warfighting) there are grounds for us initially treating autonomous and opaque systems as relevantly analogous to dogs (or other animals with which we have close relationships). Under this analogy, humans making use of these systems are not to be viewed as "users" or "deployers" of these systems, but instead take the role of "handlers". This recasting of roles...
| Authors | Nathan G. Wood |
|---|---|
| Primary category | cs.HC |
| Published | 1 July 2026 |
| Last updated at source | 1 July 2026 |
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