Canada | May 1st, 2024 – AI’s intelligence is directly impacted by the diversity of talent responsible for examining the datasets it trains on. Leveraging past practices is not sufficient for ensuring a bright future; proactive measures are needed to address the explosion of data bias challenges. Who is accountable for ensuring data accurately represents an organization’s diversity, equity, and inclusion vision?
