This is a practical guide to the dizzying domain of artificial intelligence within the education ecosystem, with a particular focus on the impact on equity and accessibility. AI and accessibility are beginning to have an interesting conversation. Not unlike the conversation about AI in general, the conversation about AI and accessibility in education can be found taking a techno-solutionist or techno-tragedist perspective. As we grow wary of this false dichotomy, we move toward what is much more likely to be the case: that it will be “both/and” and “neither/nor.” AI can make things better. It can benefit us all, it can address inequities, and it can lower barriers for people with disabilities in education. It can equally be used to amplify inequities (intentional and unintended), including discrimination against people who do not fit a “norm.”
Download the framework below to engage with some of the uses and risks of using AI in Education.
Framework for Accessible and Equitable AI in Education (.docx) EN
Cadre pour une intelligence artificielle (IA) accessible et équitable en éducation (.docx) FR
Follow some of our other work in AI:
Remarkable Insights Season 3 Episode 2 – Dr. Jutta Treviranushighlights.
Accessible and Equitable Artificial Intelligence: M-Enabling Summit 2023