Towards an Accessible and Inclusive AI (AI2)
TEAM
Canada: Christo El Morr (PI), Rachel Gorman (Co-PI), Yahya El-LAhib (co-PI)
Research Assistants: Sabine Fernandes, Sarah Taleghani, Bushra Kundi, Maimuna Khan.
Research Assistants: Sabine Fernandes, Sarah Taleghani, Bushra Kundi, Maimuna Khan.
Project
Artificial intelligence (AI) is a field of study that allows computers to mimic human intelligence and is part of health informatics.
Machine learning techniques are a subset of AI techniques that detect patterns in the data to assist users in making decisions. However, AI can also perpetuate biases against certain groups, including people with disabilities.
This is because AI software learns from pre-existing data and uses that data to make predictions. AI bias has been reported in many areas, including business, social media, the economy, politics and healthcare.
While researchers started to account for the types of biases built in AI-based software, an assessment of AI biases towards people with disabilities is virtually nonexistent. We must ensure that AI models are built accessibly and inclusively for people with disabilities and other groups.
This project assesses AI use for people with disabilities, its current advantages and challenges. The outcomes will support future research agendas, practices and policies. (project website)
Machine learning techniques are a subset of AI techniques that detect patterns in the data to assist users in making decisions. However, AI can also perpetuate biases against certain groups, including people with disabilities.
This is because AI software learns from pre-existing data and uses that data to make predictions. AI bias has been reported in many areas, including business, social media, the economy, politics and healthcare.
While researchers started to account for the types of biases built in AI-based software, an assessment of AI biases towards people with disabilities is virtually nonexistent. We must ensure that AI models are built accessibly and inclusively for people with disabilities and other groups.
This project assesses AI use for people with disabilities, its current advantages and challenges. The outcomes will support future research agendas, practices and policies. (project website)
Publications |
Upcoming Book |
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Journal Papers
El Morr, C., Kundi, B., Mobeen, F., Taleghani, S., El-Lahib, Y., & Gorman, R. (2024). AI and disability: A systematic scoping review. Health Informatics Journal, 30(3). doi:10.1177/14604582241285743. Conference Papers El Morr, C., Taleghani, S., Kundi, B., Mobeen, F., El-Lahib, Y., & Gorman, R. (2024, April 28-30). Advantages and Challenges of Using AI for People with Disabilities. CCIS Series 10th International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AWE 2024), Angers, France. Conference Abstract Kundi, B., Mobeen, F., Taleghani, S., Gorman, R., El-Lahib, Y., & El Morr, C. (2024, June 12 to 21). AI and Disability: Analyzing Challenges and Embracing Opportunities. Congress of the Federation for the Humanities and Social Sciences, Montreal. |
Beyond Tech Fixes – Towards an AI Future Where Disability Justice Thrives
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Media Appearances
Symposium
The First AI & Disability Justice Symposium
Nov 14-15, 2024
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