Decision Support
Using AI to inform a decision without transferring ownership of the decision to the system.
Decision support means using a system to inform, structure or compare options while keeping responsibility for the decision with people. In AI work, decision support may include summarizing evidence, identifying trade-offs, surfacing missing context, testing assumptions or preparing alternatives.
Decision support is different from decision substitution. A system can help organize the field of judgment, but it should not quietly become the actor that decides what matters, what risk is acceptable or who is responsible.
Why it matters
AI is often useful before a decision is made: it can widen the view, challenge a first draft or make hidden assumptions visible. It becomes risky when the output is treated as a verdict rather than an input.
Good decision support keeps a clear boundary between recommendation and responsibility. It makes evidence inspectable, uncertainty visible and human review meaningful.
Human-AI angle
Decision support is one of the core forms of Human-AI Interaction. It asks not only whether AI can produce an answer, but how the answer changes attention, confidence and accountability in the people who use it.
Related concepts
Sources and context
- Keen, P. G. W., & Scott Morton, M. S. (1978). Decision support systems: An organizational perspective. Addison-Wesley.
- Shneiderman, B. (2020). Human-centered artificial intelligence: Reliable, safe and trustworthy. International Journal of Human-Computer Interaction, 36(6), 495-504. https://arxiv.org/abs/2002.04087
Related reading
Continue exploring
- TopicHuman agency and responsibility
A guide to delegation, oversight and responsibility in AI-assisted systems.
- ArticleAre we afraid of AI, or of ourselves?
An essay on causal contribution, moral agency, distributed responsibility and the institutional uses of AI as an alibi.
- ConceptAlgorithmic authority
The credibility granted to computational outputs because they appear systematic or objective.
- ConceptAutomation bias
A tendency to favor automated suggestions and miss contradictory evidence.
- PracticeHow to use AI without handing over the decision
Separate analysis from judgment and make the final responsibility visible.
© 2026 Feliks Mamczur / Prompted Psyche. All rights reserved. Short quotations are permitted only with attribution to the author, the title and a link to the source.