News

23.11.2022, Norway
Polyxeni Vassilakopoulou

17.08.2022, Arendal, Norway
Leif Skiftenes Flak, Polyxeni Vassilakopoulou, Sara Hofmann, Cathrine Pihl Lyngstad, Ragnhild Kongsvild

27.06.2022 – 28.06.2022, Coimbra, Portugal
Volkmar Pipek, Richard H.R. Harper, chen yunan, Young Park Sun, Miria Grisot

29.04.2022, Agder, Norway
Ilias Pappas, Polyxeni Vassilakopoulou

23.03.2022, Tempe, Arizona, United States
Polyxeni Vassilakopoulou, Ilias Pappas

02.03.2022, Swansea, Wales, United Kingdom
Polyxeni Vassilakopoulou, Ilias Pappas

14.01.2022 – 28.01.2022, NTNU Trondheim, Norway
Course teacher (village supervisor): Sofia Papavlasopoulou
Course code: TDT4850

The objective of this Design activity was to establish new knowledge about the use of AI applications in public administration in Norway, focusing on the users´ need to understand the role of AI in welfare delivery processes, their key characteristics and the types of data they use, leading the way in developing human-friendly and trustworthy solutions. Participants worked alongside researchers from the AI4users project from both University of Agder (UiA) and NTNU. The purpose of this partnership was to provide participants with relevant insights, facilitate meaningful discussion, and evaluate proposed measures addressing specific challenges related to the responsible use of AI in delivering welfare services.

EiT is an obligatory course for study programmes at the master’s level at NTNU. In this course, students from different study programs come together to solve real challenges through collaboration, reflection, and shared responsibility. It works by placing diverse groups in interdisciplinary villages, where they explore problems, develop ideas, and practice communication, trust building, and constructive conflict resolution. This takes place through written and oral reflections, and structured teamwork exercises. Through this process students discover how their individual strengths become far more powerful when combined with the perspectives of others, and they learn what effective teamwork truly means in practice. The teaching takes place in courses (villages) which each have a different focus and challenges.
Read more about EiT on NTNU´s website.

The teams had to pick one of three suggested cases, and design how they would present the described AI model to the citizens. The three cases were:

1. AI model suggesting what kind of support is better for an unemployed person (e.g. retraining, coaching for job interviews, only unemployment stipend).​
2. AI model suggesting high-risk cases of student loan holders that need to be checked to minimise fraud.​
3. AI model suggesting the expected total duration of a sick-leave (is the end closed or not) so appropriate support can be given (e.g. preparation for coming back to work).​
   All cases have been discussed in Norway (but none were launched at that time).

Timeline

October 18th at 15:00 (CET)

Register in advance for this seminar:
https://uiano.zoom.us/meeting/register/u5AkdOqspzwpH90agCp-eiGqG7WX-_-6xw3T

After registering, you will receive a confirmation email containing information about joining.

The seminar will provide insights on how Action Design Research (ADR) projects are carried out in practice. ADR emphasizes authentic collaboration with organizational partners through iterative `building-intervention-evaluation´ loops. Drawing from actual ADR experiences, Professor Purao will share good practices for managing the relationship with organizational partners and lessons learnt for avoiding common pitfalls and applying the method effectively.

Sandeep Purao is a Trustee Professor in the Information & Process Management Group at Bentley University; and Visiting Professor at Agder University. His current research focuses on the design and management of technology solutions for complex societal problems such as health information for the elderly, data analytics to improve homelessness, and misinformation processes. He is the recipient of the Lifetime Achievement Award from the Design Science Research community. His research has received funding from National Science Foundation, Industry Consortia, private Foundations, as well as private Corporations. The outcomes from his work appear in journals such as ACM Transactions, Communications of the ACM, IEEE Transactions, ACM Computing Surveys,MIS Quarterly, Information Systems Research, Journal of the Medical Informatics Association, Computer-supported Cooperative Work, Decision Support Systems, Big Data Research, Information Systems Journal, Journal of MIS; and others. He has served on editorial boards for journals such as Information Systems Research, MIS Quarterlyand Journal of the AISamong others; and has held leadership roles in several conferences. He has designed and taught undergraduate, masters, professional masters, executive education, and doctoral courses with IT management and innovation, process management, value chain design, enterprise systems, databases, systems design, and research methods. He holds a PhD in Management Science from the University of Wisconsin-Milwaukee; Masters in Business Administration from Northern Illinois University; Bachelor of Commerce and Law degrees from University of Bombay, and has been a Chartered Accountant in India.

Register in advance for this seminar:
https://uiano.zoom.us/meeting/register/u5AkdOqspzwpH90agCp-eiGqG7WX-_-6xw3T

After registering, you will receive a confirmation email containing information about joining.

A new PhD position linked to the AI4Users project is now open. The PhD research aim is to generate design knowledge for the responsible use of Artificial Intelligence in the public sector. More information can be found in this link.

The deadline for applications is May 19.

… what´s in the news about the project or relevant to the project?

Special Issue Call for Papers.

CFP: Responsible AI – Critical Perspectives on AI-infused Digitalization  in the Scandinavian Journal of Information Systems. Read more in this link

Strengthens the responsible use of artificial intelligence in public services

Research that emphasizes collaboration and is evaluation driven. Read more in this link.

På norsk: Styrker truverdet til kunstig intelligens