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Vector Institute for Artificial Intelligence

Mohamad Moosavi: Accelerating the search for climate solutions with AI A strategic blueprint for safe health AI implementation: Your 2026 roadmap Vector Institute awards 100 scholarships to Ontario’s top AI graduate students Agentic AI evaluation strategies Hassan Ashtiani: Building trustworthy AI through mathematical foundations Vector researchers advance representation learning and deep learning research at ICLR 2026 Remarkable 2026 Poster Session: 60 research projects shaping AI’s future CRISPNAM-FG: An interpretable Fine-Gray deep survival model for competing risks in health care Demo Day: How the Vector Institute helps Canadian startups turn innovative ideas into commercial reality The New Cartography of the Invisible Vector researchers advance AI frontiers with 80 papers at NeurIPS 2025 New study reveals AI’s $100B economic impact across Canada, with Ontario leading the charge When smart AI gets too smart: Key insights from Vector’s 2025 ML Security & Privacy Workshop Vector Institute names 13 new Faculty Members, expanding core research leadership across Ontario Vector researchers dive into deep learning at ICLR 2025 When AI Meets Human Matters: Evaluating Multimodal Models Through a Human-Centred Lens – Introducing HumaniBench Vector Institute 2024-25 annual report: Where AI research meets real-world impact Vector researchers tackle real-world AI challenges at ICML 2025 Ontario’s AI ecosystem: fueling real economic growth with record number of jobs and private investments Transforming Youth Mental Health Support: FAIIR’s AI-Powered Crisis Response Model Vector Institute awards up to $2.1 million in scholarships to Ontario’s top AI graduate students AI Weather Forecasting Breakthrough: How Canadian Innovation is Transforming Climate Prediction | Aardvark Weather Exploring Intelligence: Vector Faculty Member Kelsey Allen’s Path from Particle Physics to Cognitive Machine Learning Vector Institute Announces the Appointment of Glenda Crisp as President and CEO Vector Institute Unveils Comprehensive Evaluation of Leading AI Models State of Evaluation Study: Vector Institute Unlocks New Transparency in Benchmarking Global AI Models Real World Multi-Agent Reinforcement Learning – Latest Developments and Applications Principles in Action: Introducing the Vector Institute’s Playbook for Responsible AI Product Development Leveraging Large Language Models for More Efficient Systematic Reviews in Medicine and Beyond Global AI Alliance for Climate Action funding announcement
Vector Institute Launches Program to Help SMEs Reduce Bia...
Ian Gormely · 2021-02-23 · via Vector Institute for Artificial Intelligence

Designed for small-to-medium-sized businesses, the new “Bias in AI” program aims to deliver technical skills for reducing implicit and explicit bias in Natural Language Processing & Computer Vision

February 22, 2021

This month marks the launch of a new program from the Vector Institute for small-to-medium-sized enterprises (SMEs). ‘Bias in AI: Practical examples in Natural Language Processing & Computer Vision’ is a five-week virtual program designed to give SMEs the technical skills they need to develop responsible applications of AI where bias may exclude or disadvantage population segments. The Vector Institute is receiving funding to support this program from the National Research Council of Canada Industrial Research Assistance Program (NRC IRAP).

Through immersive and interactive workshops, tutorials and assignments, participants develop critical skills for identifying and reducing bias in their AI models. The course culminates in a capstone presentation to instructors and stakeholders from Vector Institute and NRC IRAP representatives, strengthening their leadership in responsible AI within the AI ecosystem and beyond. Course instructor Sayyed Nezhadi — a University of Toronto and Vector researcher, AI Ph.D candidate and seasoned technology executive — is joined by accomplished teaching assistants and guest speakers, including Parinaz Sobhani, head of Machine Learning and applied research at Georgian.

“Like all of Vector’s technical education initiatives, our newest ‘Bias in AI’ program combines technically rigorous academic content with real-life business applications,” explains Shingai Manjengwa, Director of Professional Development at Vector. “As Canada’s small-to-medium-sized businesses embrace the tremendous potential of AI to transform our world, it is vital that they develop the skills to address implicit and explicit biases within AI that can generate unfair outcomes and erode trust.”

Filled to capacity in advance of its February 1 launch, the program reflects Vector’s ongoing commitment to supporting the development of high-level talent in AI, increasing industry adoption of AI, and bolstering Canada’s place as a premier hub of AI talent and research.

To explore other Vector Institute programs for industry and professionals, visit: https://vectorinstitute.ai/programs-courses/