Merja BautersResearch Professor of Digital Transformation and Lifelong Learning
Merja Bauters is a research professor in digital transformation and lifelong learning at School of Digital Technologies, Tallinn University and a docent of semiotics in the University of Helsinki. Bauters has been involved and executed research, planned and guided co-design, participatory and design thinking processes in multiple EU- and national projects, on learning and technology-enhanced learning.
The main projects are the following: Learning Layers (FP7 IST), Erasmus+ project, DesignIT, IlluminatED and Spotlighters; Creating Knowledge Through Design & Conceptual Innovation LLP – ERASMUS, KP-Lab (FP6 IST/TEL), COOP PBL in VET (LLP/LdV), NetPro (LLP/LdV).
Bauters has been lecturing in over 30 different courses on design, design methods, semiotics and project communication. She was a president, UMWEB International association of semiotics and publishing house 2003–2010. She received her PhD from the Department of Philosophy, History, Culture and Art Studies, University of Helsinki 2007, discussing Charles Peirce thoughts on interpretation.
TALK: AI in Learning at Workplaces Ethical Consideration – Explainability?
Algorithmic systems are provided for various learning activities in companies, but do the providers, managers and workers know what the system is based on, what data it uses, and how. One solution suggested is explainability of the algorithmic systems. In the talk examples of challenges are presented between providers and users in workplaces. Explainability is discussed as the solution, is it? Or not?
Workshop: AI Attitudes and Needs in Learning
- November 23, 2021 at 12:00
- 180 €
- Tallinn University, Narva mnt 25, Tallinn, Estonia
Algorithmic systems are already used but also coming increasingly into workplace learning. These can be helpful but also include many intriguing questions, such as which data is used, how it is processed, what is interpreted from the data and users/learners actions, what attitudes and wishes the learners and the company have on the algorithmic systems.
In this workshop, we collect examples from the participants on their experiences of algorithm systems used for learning in companies, what attitudes, and wishes the learners have on them.
After which we discuss the attitudes, feelings and experiences they have as well as what kind of biases the participants are concerned about and if there are biases that have a positive effect on the learners. We map them and see what parts should be explained of the system to understand their actions better, to allow the learners to intervene if they feel that something is not clear or recommendations and suggestions seem odd.
What topics are covered
- Algorithmic systems
Who is it for
All who are interested in algorithmic systems in companies for learning.
What tools/software do you need
If the workshop is online: we need Miro, breakout rooms and all emoji symbols active for immediate feedback on chat. If it is a physical event then we need a brown paper roll, post-its pens and stickers and a cosy room. In both cases, I also need online access because I will have two assistants Juri Mets, a junior researcher from TLU and Marwa Soudi Co-founder and Project Coordinator at Edtest Estonia (Marwa will attend from distance).
What will you learn
How explainability may help to understand what the algorithmic systems do
What your attitudes and potential biases are and how to take them into account in learning and work
What should be taken into account from the ethics perspective
To be prepared for the future with AI and make a difference in what direction it will go.
The workshop duration is 1/2 day