Abstract

We need to rethink how we assist designers with artificial intelligence (AI). AI should aim to cooperate, not automate, by supporting and leveraging the creativity and problem-solving capabilities of designers. The challenge for such AI is how to infer designers' goals and then help them without being needlessly disruptive. We introduce AI-assisted design, a new framework for creating such AI, built around generative user models, which allow it to infer and adapt to designers' goals, reasoning, and capabilities.

Original languageEnglish
Pages (from-to)85-96
Number of pages12
JournalAI Magazine
Volume44
Issue number1
DOIs
Publication statusPublished - Mar 2023
MoE publication typeA1 Journal article-refereed

Fingerprint

Dive into the research topics of 'Toward AI assistants that let designers design'. Together they form a unique fingerprint.
  • -: Bridging the Reality Gap in Autonomous Learning

    Kaski, S. (Principal investigator), Kulkarni, T. (Project Member), Mallasto, A. (Project Member), Hämäläinen, A. (Project Member), Filstroff, L. (Project Member) & Khoshvishkaie, A. (Project Member)

    01/01/202031/12/2022

    Project: Academy of Finland: Other research funding

  • Interactive machine learning from multiple biodata sources

    Kaski, S. (Principal investigator), Bhat, A. (Project Member), Trinh, T. (Project Member), Scherting, B. (Project Member), Siren, J. (Project Member), Gadd, C. (Project Member), Hegde, P. (Project Member), Chauhan, R. (Project Member), Jain, A. (Project Member), Jälkö, J. (Project Member), Hämäläinen, A. (Project Member), Tran, A. (Project Member) & Shen, Z. (Project Member)

    01/01/201931/08/2021

    Project: Academy of Finland: Other research funding

  • Interactive machine learning from multiple biodata sources

    Kaski, S. (Principal investigator) & Filstroff, L. (Project Member)

    01/01/201631/08/2021

    Project: Academy of Finland: Other research funding

  • Science-IT

    Hakala, M. (Manager)

    School of Science

    Facility/equipment: Facility

Cite this