Are you using
AI responsibly?
Businesses use artificial intelligence
(commonly referred to as AI) for everything
from process automation and marketing campaigns to improving customer service
and optimizing supply chains.
* Source: Race to Zero
Physical/psychological
harm, damage to property and economic loss
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Regulating AI
Your business may be using AI and not even
know it.
HARM
AIDA aims to prevent:
pledging a commitment to net zero.*
A broad set of obligations may apply to designers,
developers, providers and managers of AI systems:
Whether Bill C-27 becomes law or not, responsible use of AI is simply good business practice. Consider developing your own AI governance policies and principles to build trust with your stakeholders and help shape the conversation about AI in Canada.
For sample principles organizations can consider when using AI, check out
Mila’s AI For Humanity.
François Joli-Coeur
View bio
Canada’s Artificial
Intelligence and
Data Act: Impact for businesses
Regulating artificial
intelligence: Preparing your business for
the future
4 ways to avoid bias when your
HR agency uses AI recruitment tools
FJolicoeur@blg.com
T 514.954.3144
Partner
GWray@blg.com
T 416.367.1234
Partner
George Wray
EVila@blg.com
T 416.456.7890
Partner
Edona Vila
TALK TO OUR TEAM
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Ignorance is not bliss. Existing privacy and human rights laws in Canada already govern AI to a certain extent. Bill C-27, which has not yet been adopted, contains the Artificial Intelligence and Data Act (AIDA) — a robust legislative response to the ethical and privacy concerns that arise when decisions are automated using machine learning. With the EU, Canada is one of the first countries to table laws to govern AI.
AI output that adversely differentiates without justification on one or more of the prohibited grounds of discrimination set out in the CHRA
BIASED OUTPUT
To get ready for potential AI legislation and comply with existing laws, including privacy and employment, identify your processes that use AI, then ask questions of your AI providers or internal teams. Could the decisions these processes make affect someone’s psychological or financial wellbeing? Are steps taken to avoid bias? How are privacy concerns addressed? If you’re in the market for a new system, find out what its risks are in light of Bill C-27 before investing in it.
Risk assessment
to determine if
the system is
“high-impact”
Mitigation and system monitoring for high-impact systems (regarding potential harm or biased output)
Transparency and notice for high-impact systems regarding intended use and actual use
Establishing measures with respect to data anonymization process and the use of anonymized data
Reporting material harm to the Minister of Innovation, Science and Industry
