Maximally Autonomous AI Assistant/Kaski S.

Project Details

Description

Most current Artificial Intelligence principles have been designed for automating actions which require intelligence, even though they are being used by people. Instead, we develop artificial intelligence methods which have been designed to maximally help their user. They automate as much as possible but not more; when they do not know what their user's goal is or they have not understood it, they know to ask. The methods are applied in drug design and in designing maximally autonomous cars.
AcronymMAMAA /Kaski S.
StatusFinished
Effective start/end date01/01/202231/12/2024

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 8 - Decent Work and Economic Growth
  • SDG 13 - Climate Action

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
  • Compositional Sculpting of Iterative Generative Processes

    Garipov, T., De Peuter, S., Yang, G., Garg, V., Kaski, S. & Jaakkola, T., 2024, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Curran Associates Inc., p. 12665-12702 (Advances in Neural Information Processing Systems; vol. 36).

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
  • Cooperative multi-objective Bayesian design optimization

    Mo, G., Dudley, J., Chan, L., Liao, Y. C., Oulasvirta, A. & Kristensson, P. O., 24 Jun 2024, In: ACM Transactions on Interactive Intelligent Systems. 14, 2, 28 p., 13.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
    38 Downloads (Pure)
  • CRTypist: Simulating Touchscreen Typing Behavior via Computational Rationality

    Shi, D., Zhu, Y., Jokinen, J. P. P., Acharya, A., Putkonen, A., Zhai, S. & Oulasvirta, A., 11 May 2024, CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. Mueller, F. F., Kyburz, P., Williamson, J. R., Sas, C., Wilson, M. L., Toups Dugas, P. & Shklovski, I. (eds.). ACM, 17 p. 942

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Open Access
    File
    1 Citation (Scopus)
    69 Downloads (Pure)