Addressing inherent racial and gender bias in artificial intelligence
“If data is not disaggregated by race, sex, and gender, then differences between marginalized groups and identities are hidden and may bias the data.”
“If data is not disaggregated by race, sex, and gender, then differences between marginalized groups and identities are hidden and may bias the data.”
Professor Chris Caputo discusses his research with Inkbox in creating a sustainable and long-lasting dye derived from fruit extract.
As the pandemic continues, a significant portion of BIPOC, female nurses are demonstrating an urgent need for support as they report higher incidences of abuse and discrimination in the workplace.
York ORUs contribute to the month of events with various panels, talks, and screenings all focused towards education around the effects of climate change.
Program Director and Professor Dayna Scott gives insights into Osgoode’s Environmental Justice and Sustainability Clinic
In collaboration with Ben-Gurion University in Israel, researchers discover that children have more difficulty than adults in recognizing faces and facial expressions in people wearing masks.
York researcher’s contributions in finding practical uses for augmented reality (AR) and virtual reality (VR) bring to light how these technologies can be applied in expansive areas such as remote education and healthcare.
As ‘non- standard’ employment rises, Ontario becomes the first province in Canada to explore health and wellness benefits tied to employees instead of employers.