LEARNER: AI and Disability, A Double-Edged Sword

LEARNER: AI and Disability, A Double-Edged Sword

logo

Inclusive Design Research Centre

wecount@inclusivedesign.ca

The Inclusive Design Research Centre is an international community of open source developers, designers, researchers, educators and co-designers who work together to proactively ensure that emerging technology and practices are designed inclusively. Learn more at idrc.ocadu.ca

Tags:

accessibility, AI, AI-Ethics, Data-Privacy, Learning, quantification, Social-Hierarchy, Statistics
The earner of this badge has learned about the complex relationship between innovative technology and disability, with a focus on artificial intelligence (AI). In addition, the earner has contributed their perspective on the risks and rewards of AI for people with disabilities, as well as what the future of the industries may hold for the disability community. The earner viewed a webinar on the complex relationship between AI and disability delivered by Wendy Chisholm, Principal Accessibility Architect at Microsoft, and Jutta Treviranus, the Director of the Inclusive Design Research Centre (IDRC) and Professor in the Faculty of Design at OCAD University. A summative assessment, in the form of a knowledge recall quiz, including distinguishing terminology, frameworks, and relevant use, was completed, and then evaluated by the We Count team. Estimated learning time including assessment: 2-4 hours.

For more information, please visit We Count’s Home Page


This Learner assessment consists of four short-answer questions based on the content of We Count’s AI and Disability: A Double-Edged Sword webinar (https://youtu.be/3qdgMkIxjtY). The reflection questions will allow you to connect what you have learned to your own experiences and to We Count initiatives.

This assessment is not time-restricted, featuring an option at the bottom of the form for it to be saved and continued later. Remember to read through all of the questions carefully and to take your time.

The average learning time for this badge is 2-4 hours.


- or -