Generalizing with AI

In this project we study the ways in which new trends in machine learning, such as transfer learning and foundation models, are being used in practice. We focus on the health, public services and media sectors.

Objective

The aim of the project is to explore issues that arise when implementing new machine learning techniques, such as transfer learning and foundation models. This exploration is carried out in collaboration with partners from health, public services and media institutions.  

Results

This project aims to deliver:

  • A publication describing the identified issues
  • A research proposal addressing one of the identified issues
  • Expertise development regarding transfer learning and foundation models
  • Consortium with professional practice partners regarding new Machine Learning techniques
 

 

Duration

01 January 2022 - 31 December 2022

Approach

In focus group interviews with organisations from the sectors health, public services and media, the possibilities for using transfer learning and foundation models will be explored. The issues that arise will also be discussed, and be underpinned by literature review. 

HU researchers involved in the research

Related research groups

Collaboration partners

We aim to increase our partners in this project. Interested? Contact us.

Any questions or want to collaborate?

Sietske Tacoma

  • Researcher
  • Research group: Artificial Intelligence