Convening regulators to explore governance, risk, and responsible adoption of artificial intelligence
Artificial intelligence is rapidly transforming how decisions are made, risks are assessed, and services are delivered across sectors. For regulators, these changes carry significant implications.
AI presents opportunities to improve efficiency and insight, while also introducing complex challenges related to governance, transparency, accountability, and public protection. Many regulatory organizations are being asked to consider how AI can be used responsibly within their mandates, often without clear frameworks or shared practices to guide decision-making.
Despite the growing importance of AI, regulators have largely been navigating these questions independently, with limited opportunities to share experiences, examine emerging approaches, and build a collective understanding of how artificial intelligence should be governed in public-interest contexts.
MDR Strategy Group designed and convened two AI in Regulation conferences to bring together regulators, policymakers, technologists, and governance experts in a structured forum focused on the practical implications of artificial intelligence in regulatory environments.
The conference brought together participants from across Canada and internationally, representing a broad range of regulatory sectors and jurisdictions.
Through keynote presentations, panel discussions, and interactive sessions, participants explored topics including AI governance frameworks, decision-support tools, risk management, and the ethical considerations associated with the use of artificial intelligence in regulatory decision-making.
The focus was not only on understanding the technology, but on examining how regulators can adopt AI in ways that are transparent, accountable, and aligned with their public protection mandate.
Artificial intelligence is rapidly transforming how decisions are made, risks are assessed, and services are delivered across sectors. For regulators, these changes carry significant implications.
AI presents opportunities to improve efficiency and insight, while also introducing complex challenges related to governance, transparency, accountability, and public protection. Many regulatory organizations are being asked to consider how AI can be used responsibly within their mandates, often without clear frameworks or shared practices to guide decision-making.
Despite the growing importance of AI, regulators have largely been navigating these questions independently, with limited opportunities to share experiences, examine emerging approaches, and build a collective understanding of how artificial intelligence should be governed in public-interest contexts.
By convening regulators and experts from across jurisdictions, MDR helped move the conversation on AI in regulation from isolated exploration to more coordinated and informed dialogue.
The conferences contributed to a growing body of shared understanding around how artificial intelligence can be applied responsibly within regulatory environments, while reinforcing the importance of governance, transparency, and accountability.
Building on this work, MDR is now supporting regulators across Canada and internationally in establishing the governance structures, decision-making processes, and accountability frameworks required to oversee the use of artificial intelligence in regulatory contexts.
This includes advising on how AI can be integrated into regulatory operations in ways that are aligned with statutory mandates, support sound decision-making, and maintain public trust.
This work reflects MDR’s role in shaping how the regulatory sector is responding to emerging technologies and supporting organizations as they navigate one of the most significant shifts affecting public-interest regulation today.
