We Count has a lot of things on the go. You can learn and co-create with us and earn micro-badges to show your effort. Here are some of our upcoming and ongoing learning activities.
All We Count/Digging DEEPer workshops and webinars are accessible, free and open to the public. We welcome people from all backgrounds and experience levels.
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2020 We Count, Future of Work & Digging DEEPer Events
Building Indigenous Future Imaginaries
Based on Jason Lewis’s research-creation work, this webinar will explore the concept of the future imaginary and make an argument as to why it is important that Indigenous people engage in creating them.
December 9, 2020, 10:30 AM – 12:00 PM (EST)
Inclusive AI for HR
Panelists will highlight some of the potential problems that arise from AI in the hiring process and brainstorm ideas to make this process more inclusive for persons with disabilities.
December 1, 2020, 1:30 PM - 3:00 PM (EST)
Coding to Learn and Create
Looking for something exciting and creative for your kids in November? Coding to Learn and Create is offering a two-day workshop.
Part 1: November 18, 10:30 AM – 12:00 PM (EST)
Part 2: November 25, 10:30 AM – 12:00 PM (EST)
AI Hiring System Policies
Panelists will discuss how machine learning models can carry bias when selecting candidates, affecting persons with disabilities and other individual differences.
November 17, 2020, 1:30 PM - 3:00 PM (EST)
AI Employment Systems
A group of expert panellists will give an introduction to AI and machine learning with a focus on concerns for persons with disabilities and employment.
November 3, 2020, 1:30 AM – 3:00 PM (EST)
AI and AT Apps
Artificial intelligence is rapidly advancing to think like us and to deep dream through machine learning, so how can it be used to improve accessibility? This three-part workshop will dig deeper into the possibilities of AI-powered assistive technology mobile apps.
A conversation on accessible survey platforms, hosted by the Inclusive Design Research Centre.
The webinar recording will be available soon.
Bias In, Bias Out
Dr. Toon Calders (University of Antwerp) explains how predictions made using data mining and algorithms can affect population subgroups differently.
Coded Bias explores the fallout of MIT researcher Joy Buolamwini’s startling discovery that facial recognition does not see dark-skinned faces accurately and her journey to push for legislation in the U.S. to govern against bias in the algorithms that impact us all.
The Metric Society and Surveillance
Join us for a discussion with author Steffen Mau and other panelists.