LEARNER: Inclusive AI for HR

LEARNER: Inclusive AI for HR

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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:

Artificial-Intelligence, Bias, EDI-principles, Inclusive-AI-for-HR, We-Count
The Future of Work and Disability Project of the Inclusive Design Research Centre (IDRC) examined the barriers and opportunities that artificial intelligence (AI) and other “smart” technologies present for persons with disabilities (PWD) in the sphere of employment. The focus of the project was to discover, understand, and draw insight into the ways that AI and other “smart” technologies impact people with disabilities and limit or improve their opportunities and well-being with regard to employment. The learner of this badge has learned how AI in hiring systems impacts the employment of people with disabilities, and how to better develop AI-based hiring systems that are inclusive and transparent for people with disabilities. The learner viewed a webinar on "How to make Artificial Intelligence inclusive for hiring and HR," delivered by Shea Tanis (Director of Policy and Advocacy at the Coleman Institute for Cognitive Disabilities at the University of Colorado), Rich Donovan (CEO of the Return on Disability Group), and Vera Roberts (Senior Manager at IDRC). A summative assessment, in the form of a knowledge recall quiz that includes distinguishing terminology, frameworks and relevant use, was completed and then evaluated by a qualified We Count assessor. Estimated learning time including assessment: 2- 4 hours.

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


This Learner assessment consists of 5 short-answer questions based on the content of We Count’s Inclusive AI for HR webinar. The reflection questions will allow you to connect what you have learned from your own experiences and the 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 2-3 hours.


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