Designing Human-Centred AI in Healthcare
Provider: Faculty of Science

Activity no.: 5192-24-02-01 
Enrollment deadline: 15/02/2024
Date and time15.04.2024, at: 08:00 - 18.04.2024, at: 16:00
Regular seats30
Course fee200.00 €
ECTS credits5.00
Contact personAmanda Lybke Rasmussen    E-mail address: amra@di.ku.dk
Enrolment Handling/Course OrganiserAmanda Lybke Rasmussen    E-mail address: amra@di.ku.dk
Written languageEnglish
Teaching languageEnglish
Exam formWritten assignment
Exam detailsAt the end of the course a written report (e.g. essay/draft of paper/short paper) is submitted (deadline: May 31st). Instructor feedback is provided.
Course workload
Course workload categoryHours
Lectures59.50
Writing40.00
Course Preparation50.00
Sum149.50
Aim and content

 

Enrolment application
You apply for enrolment via the button in the top right corner AND by sending a motivational letter to chi2021wsaihealth@gmail.com. If you have any questions please write the organisers directly: Tariq Andersen (tariq@di.ku.dk) and Francisco Nunes (francisco.nunes@aicos.fraunhofer.pt).

The motivational letter (1/2 to 1 page) should mention current area of research, relevant experience, background training, and why the course would be relevant to support your PhD.
Deadline for signing up is February 15th 2024. If early registration acceptance is needed for e.g. VISA purposes, please send the application no later than January 2nd, 2024.

Course description
This PhD course is focused on understanding and designing Human-Centred AI (HCAI) systems for healthcare scenarios. Confronted with the practical difficulties of operationalizing user research, (co-)design, and evaluation of HCAI for healthcare, we created a module that presents different methods, shares experiences, and offer recommendations for working in healthcare settings.

The research on Artificial Intelligence (AI) in healthcare has been growing exponentially, but there are very few AI-based systems that make it to the real world and everyday care. Going the “last mile” of implementing AI in healthcare, will require an in-depth understanding of the users, their context, the AI-based systems, as well as the sociotechnical uncertainties of using AI-based systems. The Human-Computer Interaction (HCI) community is especially well equipped to deal with these challenges, but the specific characteristics of AI-based systems in healthcare require adaptations to traditional HCI methods.

The aim of this PhD course is to set the stage for a new wave of HCI research that accounts for and begins to develop new insights, concepts, and methods, for transitioning from development to implementation and use of AI in healthcare. The module draws on inspiration from the recent ACM TOCHI special issue on “Human-Centred AI in Healthcare: Challenges Appearing in the Wild” co-organised by the course instructors.”
PhD students are invited to take part in the course, which consists of a remote part, an in-person part in Copenhagen.

Learning outcome
Knowledge:
• Explain different conceptualizations of human-centred AI in healthcare
Demonstrate knowledge of state-of-the-art human-centred AI theory and methods in HCI

Skills/competences:
• Can reflect on potentials and drawbacks of different human-centred co-design approaches around AI in healthcare and sensitive settings

Competences:
• Can plan a design- and AI-based study with health professionals, citizens, patients or other health IT users

Literature
The literature will consist of key papers from the TOCHI ACM special issue, see https://dl.acm.org/toc/tochi/2023/30/2#sec2

Target group
Human-Computer Interaction, Design, Health Informatics, Information Systems and related fields.

Teaching and learning methods
We will combine active learning with formative and summative evaluation. The course is structured around different learning activities including reading and preparing discussions of theoretical papers (from the special issue), joining in-class lectures to support the writing of an individual report, and collaborative exercises in-class.

Lecturers

Yvonne Rogers, University College London

Anja Thieme, Microsoft Research

Niels van Berkel, Aalborg University

Claus Bossen, Aarhus University

Francisco Nunes, Fraunhofer Portugal AICOS

Tariq Andersen, University of Copenhagen 

Remarks

Course Fee
There is a course fee of 200 euro (with 3 free registrations) for all participants except for PhD students enrolled at the PhD school of SCIENCE, UCPH.
Participants are expected to pay for their travel and accommodation. Food and refreshments will be provided at the event. A social dinner is included.

Course dates:
The course will take place in Copenhagen from 15th - 18th of April, 2024.
In addition to the physical course, there will be 4 online 2-hour sessions.

Date and time for the online sessions (CET):

March 6th

4.00pm-5.00pm Talk by Anja Thieme - Designing Human-centered AI for Mental Health
5.30-pm-6.30pm Talk by Claus Bossen - Batman and Robin in Healthcare Knowledge Work

14th March

4.00pm-5.00pm Talk by Hubert Zajac - Clinician-Facing AI in the Wild: Taking Stock of the Sociotechnical Challenges and Opportunities for HCI
5.30pm-6.30pm - Talk by Hongyan Gu - Improving Workflow Integration with xPath

4th April

4.00pm-5.00pm Talk by Svenja Breuer - How Engineers’ Imaginaries of Healthcare Shape Design and User Engagement
5.30pm-6.30pm Talk by Rob Procter - Holding AI to Account: Challenges for the Delivery of Trustworthy AI in Healthcare

11th April

9.00am-10.00am Talk by David Navarro - Collaboration, not Confrontation - Understanding General Practitioners’ Attitudes Towards Natural Language and Text Automation in Clinical Practice
10.30am-11.30am Talk by Niels van Berkel - Measurements, Algorithms, and Presentations of Reality: Framing Interactions with AI-Enabled Decision Support

Questions
In case of questions regarding the course, please contact Tariq Osman Andersen (tariq@di.ku.dk).