CategoriesArtificial IntelligenceDigital learning

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.
CategoriesDigital learning

Creative ideas for using AI in Education


Just looked at this #OpenAccess book, which proposes a crowdsourced collection of tools for creatively using AI in education -> https://zenodo.org/record/8072950.

Almost all ideas revolve around genAI tools like ChatGPT, Midjourney, and DALLE2.

It was an exciting read, but I found no mention of adaptive learning, intelligent tutoring or learning analytics.