Tag: “Disability”

These automated hiring and matching algorithms, implemented by major corporations such as LinkedIn, Amazon and others can be positioned in the wider context of automated processes, that use machine learning/AI algorithms, and support the infrastructure of society. These systems inevitably result in inequitable outcomes.

For this article, Antranig is considering this problem in the context of corporate apologies for technological practice and initiatives such as data feminism that seek to transfer power from privileged groups to those at the margins of society.

Future of Work: Equitable Digital Systems (EDS) project team is excited to share the outcomes of a nearly three-year collaboration — during COVID.

The Future of Work: Equitable Digital Systems project is an initiative at the Inclusive Design Research Centre, OCAD U examining the accessibility of the digital tools and systems we rely upon for work.

Dr. Jutta Treviranus collaborated in the District 3 panel “How Virtual Care Is Revolutionizing Digital Health” in October 2020.

This video presentation examines how AI technology is utilized in recruitment and selection, its implications for candidates with disabilities, and the question of accessibility and diversity.

IDRC partnered with Carleton University's Accessibility Institute on the Informing Standards for Acoustics and the Built Environment project.

Learning data science comes with a steep learning curve, and inaccessible tutorials, resources and tools create barriers. To support a more inclusive environment in the field of data science, We Count has created a resource library.

We Count worked with stakeholders to envision how the proposed technologies for the proposed Quayside “Smart City” project in Toronto could impact individuals with disabilities and their networks.

Project We Count evaluated the MIDP for Toronto’s Quayside from the perspective of persons in Toronto who have difficulty with or are excluded by the current urban plan.