In a matter of months, generative artificial intelligence (AI)
has shifted from an emerging technology to a mainstream business
tool, with applications such as ChatGPT driving widespread adoption
across industries. As organizations increasingly experiment with AI
to enhance efficiency and decision-making, regulators around the
world are working to balance innovation with accountability.
The rapid pace of deployment raises complex questions about
governance, oversight and, critically, liability. When an algorithm
makes a mistake, who is responsible – the developer or the
deployer? This article examines how existing and proposed legal
frameworks address that question and how Canadian law is adapting
to the realities of autonomous decision-making.
