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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
How SMBs can manage the opportunities and risks of deploy...
Ian Gormely · 2023-07-20 · via Vector Institute for Artificial Intelligence

Vector’s Collision Conference masterclass emphasized the economic opportunities for SMBs leveraging AI, while suggesting ways these firms can navigate potential risks.

By Ian Gormely

The past year has seen a massive shift in the public perceptions of AI and there are reasonable concerns about the rapid development of powerful AI models. AI is no longer something used only by tech companies. There is increasingly broad adoption of AI occurring across multiple industries and sectors and among the general public with quickly evolving generative AI models.  

Given this crucial inflection point, the Vector Institute chose to use its recent Masterclass panel at this year’s Collision conference to not only emphasize the economic opportunities for small and medium-sized businesses (SMBs) that leverage AI, but also help these firms navigate the benefits and risks at this critical juncture.

Vector's Deval Pandya speaks from a speakers podium in front of a slide show screen in front of a crowded room.
Our panel featuring Sheila McIlraith,  James Stewart, Mardi Witzel, and Deval Pandya sit facing a crowded room.
Vector's CEO & President Tony Gaffney introduces Vector's panel from the speakers podium located at the front of a crowded room.
Our panel featuring Sheila McIlraith,  James Stewart, Mardi Witzel, and Deval Pandya sit facing a crowded room. Shelia is the third from the left, she is holding a microphone as she is speaking. The other panelists are looking at her.

Responsible AI for SMBs: Insights from AI leaders

Called “Responsible AI for SMBs: Insights from AI leaders,” the session was led by Deval Pandya, Vector’s Vice President of AI Engineering, with Vector Faculty Member Sheila McIlraith, who is also a professor in the Department of Computer Science at the University of Toronto and Associate Director and Research Lead of the Schwartz Reisman Institute for Technology and Society, James Stewart, CEO and founder of TrojAI, and Mardi Witzel, Vice President, AI Governance Programs at NuEnergy.ai and Board Member of PolyML rounding out the panel. 

“We are in a truly transformative moment. It’s a really exciting time… but also a time for some care and some risk…we’re in a little bit of the wild west.”

Shelia McIiraith

Professor in the Department of Computer Science at University of Toronto and Associate Director and Research Lead of the Schwartz Reisman Institute for Technology and Society

Until last November, SMEs often found it difficult to find a use-case for their business, said Witzel. “This is what has changed with generative AI.” Now, she says it’s easy for businesses to see the low-hanging fruit use cases, a development that will lead to “a bottoms-up cultural change.” 

For this to happen though, businesses need to be in control of their data. “It’s your data that enables you to derive insights, and AI is the tool essentially that allows you to mine it.” She pointed to an auto parts manufacturer that’s used AI to improve welding efficiency and a utility building an AI-enabled customer service chatbot as examples of AI as examples of Ontario companies that are already leveraging the technology to improve their bottom line. 

Indeed, as AI increasingly becomes a competitive differentiator, Pandya speculated that one of the biggest risks for SMEs could be not integrating the technology into workflows. But all agreed that a rush to adopt AI into businesses could perpetuate safety and fairness issues, leaving companies of all sizes vulnerable to reputational and financial risks. 

Stewart, whose company helps its clients protect their AI systems, says he’s already seeing the full spectrum of reactions to the mainstreaming of generative AI tools like ChatGPT. Some companies are banning it outright, while others are encouraging employees to experiment with AI tools to find areas of competitive advantage. 

But he sees neither as the best approach. “To me, risk comes down to mitigating possible harm,” he said, which can be done by quantifying the bias, fairness, interpretability, explainability, robustness, security, and privacy of a model. 

While McIlraith, Witzel, and Stewart all agree that guardrails are necessary to ensure that the technology’s biggest risks don’t come to pass, they were of different minds as to who and how they would be erected with policymakers, government regulators, AI developers, and individual companies all cited as potential avenues for regulation. 

Ultimately, all three panelists did agree that it was incumbent on businesses to educate themselves as they implement AI. Pandya pointed to Vector’s recently released AI Trust and Safety Principles, which SMEs can use as a guide as they develop their own code of conduct and AI policies.

“You have a duty of care to ensure that you’re using these technologies responsibly. It’s up to the business to balance the risk against the innovation.”

For its part, Vector will continue working with governments, policymakers, and stakeholders to establish guardrails and guide responsible adoption. While there will be bumps along the way, as there are with any new technology, McIlraith remains optimistic. “We will figure this out.”