Some months ago, Alessandra Antonaci and Filippo Chiarello, members of the Encore project, invited me to talk about my research in multimodal AI learning analytics. The result of this discussion is in the podcast below.
Category: Artificial Intelligence
Impact of AI Act on Affective Computing
As we get closer to enacting the #AIAct, I want to share a few thoughts on banning #emotionrecognition on education applications.
While certainly moved from a good cause, this ban risks hindering much of the community's progress in affective computing in education.
As my colleague @deniziren puts it:
"Computational services lacking empathy or emotion-aware capabilities are merely blunt tools. How can we hope to address the human-AI alignment problem without enabling AI to understand human emotions?"
https://www.linkedin.com/pulse/impact-ai-act-affective-computing-deniz-iren-phd-pmp/
Technology-assisted emotion recognition is helpful in various contexts, such as supporting people with autism spectrum disorder (ASD) or Asperger syndrome.
Emotion recognition is not the only proxy for users' identity; the same can be done with speech, physiological data, etc. Do we need to ban them all? What will this mean for education research?
There are techniques which we have been using that allow the use of emotion recognition while preserving user privacy (see here: https://link.springer.com/chapter/10.1007/978-3-031-16290-9_4 )
Ultimately, the technology is never the problem per se, but what is more problematic is how it is used and for which intention. So banning a certain technology, such as emotion recognition, also blocks good-intentioned initiatives.
CategoriesArtificial Intelligence
To what extent is ChatGPT useful in education?
In my responsible AI class, my students have to design an AI tool or functionality for education. This year, 3 out of 5 groups decided to look into LLMs such as ChatGPT.
So I discussed with them to what extent ChatGPT can be helpful in education. Three takeaways:
CategoriesArtificial Intelligence
Making AI More Human
Although my field of study is computer science and artificial intelligence, I am conducting my doctoral studies in a (soon to become) Faculty of Education while my field of expertise is Multimodal Learning Analytics. In this field, the Human component has always been of highest relevance. In the prototypes we developed it is typically a human that uses the developed systems, as well as the human (e.g. teacher or learner) is the subject of investigation.