mlsanityData to 7 Oct 2026

Toward AI Assistants That Let Designers Design

arXiv 2107.13074 ↗First posted 22 Jul 2021cs.HC cs.AI cs.LGcited by 6

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Abstract (arXiv)

AI for supporting designers needs to be rethought. It should aim to cooperate, not automate, by supporting and leveraging the creativity and problem-solving of designers. The challenge for such AI is how to infer designers' goals and then help them without being needlessly disruptive. We present AI-assisted design: a framework for creating such AI, built around generative user models which enable reasoning about designers' goals, reasoning, and capabilities.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 13 of its 62 references that are in the map. First posted on arXiv 22 Jul 2021.

Builds on

13 of 62 references.

References · 13

  1. 2016Concrete Problems in AI Safetycited by 1,582
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  3. 2017Preferential Bayesian Optimizationcited by 72
  4. 2015Shared Autonomy via Hindsight Optimizationcited by 46
  5. 2017Occam's razor is insufficient to infer the preferences of irrational agentscited by 44
  6. 2018Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behaviorcited by 40
  7. 2020Sequential Gallery for Interactive Visual Design Optimizationcited by 24
  8. 2020Projective Preferential Bayesian Optimizationcited by 21
  9. 2020Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trialscited by 20
  10. 2021Data-Driven Design-by-Analogy: State of the Art and Future Directionscited by 18
  11. 2020GRIDS: Interactive Layout Design with Integer Programmingcited by 9
  12. 2019Learning to design from humans: Imitating human designers through deep learningcited by 8
1 more
  1. 2016Learning an Optimization Algorithm through Human Design Iterationscited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 1; 2025: 0; 2026: 2.

6 papers.