Leaders discuss the right speed for innovation and regulation at Remarkable AI conference

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Leaders discuss the right speed for innovation and regulation at Remarkable AI conference

The Remarkable AI conference, hosted by the Vector Institute, focused on the balance between AI innovation and regulation. Key discussions highlighted the risks of both overly cautious and hasty approaches to AI adoption and regulation. Experts emphasized the need for flexible regulations that can adapt to the rapid pace of AI development.

Panelists, including leaders from RBC and CAN Health Network, shared insights on the importance of thorough research before investing in AI. They also pointed out that Canada's healthcare system is lagging in AI adoption, which poses risks to its competitiveness. The conference underscored the critical need for increased computing capacity to support AI advancements.

• AI regulation must be flexible to adapt to rapid technological changes.

• Reinforcement learning is crucial for enterprise AI adoption.

Key AI Terms Mentioned in this Article

Reinforcement Learning

This technique is highlighted as essential for enterprise AI adoption.

AI Regulation

The discussion emphasizes the challenges of creating effective regulations that can keep pace with AI advancements.

Computing Capacity

The need for increased domestic computing resources is identified as a critical factor for AI development in Canada.

Companies Mentioned in this Article

Vector Institute

Vector Institute is a leading AI research hub in Canada, hosting the Remarkable AI conference to discuss innovation and regulation.

RBC

RBC is a major financial institution that emphasizes the importance of careful AI investment and research in its operations.

Deloitte

Deloitte is a consulting firm that advocates for the use of reinforcement learning in enterprise AI strategies.

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