A field guide to machine answers: the tools that answer back
Schmarsow, Prisca ORCID: https://orcid.org/0009-0003-6756-6420
(2026)
A field guide to machine answers: the tools that answer back.
Prisca Schmarsow, Online.
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Abstract
Asking better questions of the machine. This page isn’t about crafting prompts; it’s about seeing how the machine constructs its answers — what it draws on, what it ignores, and how previous interactions, memory, and training data shape its replies. AI tools are everywhere in contemporary design practice at the moment. Helpful at times, unruly at others, and occasionally drifting into something bizarre or simply wrong. This page is not about catching AI making mistakes. It is about scrutinising the outputs on any given query.
| Item Type: | Other |
|---|---|
| Uncontrolled Keywords: | design, webdesign, digital tools, AI, AI ethics, AI bias, AI outputs |
| Subjects: | B Philosophy. Psychology. Religion > BH Aesthetics N Fine Arts > N Visual arts (General) For photography, see TR N Fine Arts > NC Drawing Design Illustration Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Faculty / School / Research Centre / Research Group: | Faculty of Law, Arts and Social Sciences Faculty of Law, Arts and Social Sciences > Centre for Creative Futures Faculty of Law, Arts and Social Sciences > School of Design and Creative Industries |
| Related URLs: | |
| Last Modified: | 23 Oct 2026 16:51 |
| URI: | https://gala.gre.ac.uk/id/eprint/54826 |
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