Which aspect does Canada's approach to AI regulation through AIDA primarily focus on?

Canada's approach to AI regulation through the Artificial Intelligence and Data Act (AIDA) primarily focuses on high-impact systems and the associated risks they pose. This focus is crucial because high-impact AI systems have the potential to significantly affect individuals and society at large, making it necessary to evaluate and manage the risks they present.

By concentrating on high-impact systems, AIDA aims to establish a regulatory framework that ensures these technologies are developed and deployed responsibly. This involves assessing the implications such systems have on privacy, safety, and ethical considerations, allowing for a more comprehensive approach to governance that prioritizes safeguarding individuals and society from harm.

This focus is especially relevant in the context of evolving AI technologies, where risks can vary greatly based on the use case and the potential consequences of AI decisions. As a result, the regulation prioritizes identifying and mitigating risks rather than merely addressing the technical complexities, the speed of development, or governance models in isolation. This risk-based perspective helps ensure that regulations remain effective amid the rapid advancements in AI technologies.