Tag: “AI”

The pluralistic data infrastructure supports communities in taking collective ownership of data that relates to them and curating its relationships with data from other sources.

Dr. Jutta Treviranus participated in the Sight Tech Global 2020 panel "AI, Fairness and Bias" on December 2.

We Count badges enabled people to showcase their proficiency in the growing fields of AI, data systems and inclusive data practices as well as other skills.

In May, we completed our second set of co-design sessions with the Equitable Digital Systems (EDS) project. EDS is a project that explores how to make digital systems more inclusive for persons with disabilities in the workplace.

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.

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.

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.

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.

The Future of Work and Disability project formed a study group to understand and examine intersecting topics of AI, automation, standards and employment as they relate to persons with disabilities.

Jutta Treviranus was invited to contribute this essay related to We Count to Some Thoughts, a collection of essays on smart cities.