Training by theme
Confidentiality and compliance
Law 25, purpose, anonymization, transfers outside Québec: the course that protects the personal information entrusted to AI, day to day and at every tool choice.
Why this training
What enters a public AI can come back out.
Masking a name is not enough: indirect clues allow re-identification, and reusing data for a new objective requires new consent. This course makes purpose, minimization and anonymization concrete, and clarifies what Law 25 actually requires.
The modules in this course
Law 25 in plain terms
C02M01
Apply purpose, minimization and informed consent day to day.
Understand the three core principles of Law 25 (purpose, minimization, consent) that apply to the use of AI.
RegisterAnonymization vs pseudonymization
C02M02
Distinguish reversible masking from legal, irreversible anonymization.
Distinguish pseudonymization from anonymization and prevent re-identification through cross-referencing.
RegisterReusing existing data
C02M03
Assess whether a new use is compatible with the original purpose.
Assess the legal right to reuse existing data under the principle of compatible purposes.
RegisterChoosing an AI solution and managing transfers outside Québec
C02M04
Require contractual guarantees and conduct a PIA.
Assess the security of AI tools and govern transfers of personal information outside Québec.
RegisterConfidential data and GenAI
C01M04
Sort your data and de-identify rigorously before every prompt.
Categorize work data and apply anonymization techniques to protect sensitive information.
RegisterReady to equip your team?
Enroll your teams in our AI-literacy and governance training, from the common core to function-specific use cases.
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