PolicyHow beginners canPolicyBeginner how-to
How beginners can use AI safely with files, email and private information.
A practical data checklist helps you get useful assistance without pasting sensitive material into the wrong tool.
Policy AI news, guides and analysis.
AI regulation, governance, privacy, copyright, procurement and accountability in Canada and around the world.
Latest policy stories
17 articlesPolicyHow beginners can
PolicyCanada’s national AIPolicyPolicy watch
Canada’s national AI strategy will be judged by six practical outcomes.
Trust, adoption, talent and infrastructure need budgets, owners and public measures.
PolicyThe EU AIPolicyPolicy watch
The EU AI Act matters to Canadian companies selling far beyond Europe.
Product classification, documentation and provider duties can follow a system into global markets.
PolicyNIST’s AI riskPolicyPolicy watch
NIST’s AI risk framework is useful because it turns principles into a management loop.
Govern, map, measure and manage gives teams a common language without pretending every use case is the same.
PolicyWhat Canada canPolicyPolicy watch
What Canada can learn from the AIDA debate.
AI law needs clear scope, enforceable duties and enough technical flexibility to survive new products.
PolicyAI makes meaningfulPolicyPolicy watch
AI makes meaningful privacy consent harder—and more necessary.
People cannot make a real choice when data uses are hidden behind vague language or endless partners.
PolicyDeepfake policy mustPolicyPolicy watch
Deepfake policy must protect trust without promising perfect detection.
Labels, provenance, platform response and penalties for harmful deception each solve a different part of the problem.
PolicyElection AI rulesPolicyPolicy watch
Election AI rules must move at campaign speed.
Synthetic impersonation, targeted persuasion and false administrative information require rapid verification and response.
PolicyCanadian copyright policyPolicyPolicy watch
Canadian copyright policy faces three separate AI questions.
Training data, generated outputs and tools that imitate creators should not be collapsed into one debate.
PolicyWhen an AIPolicyPolicy watch
When an AI agent acts, responsibility cannot disappear into the workflow.
Developers, deployers and users need defined duties before a system makes purchases or changes records.
PolicyAI competition policyPolicyPolicy watch
AI competition policy is about the stack, not one chatbot market.
Cloud, chips, data, models and distribution can reinforce one another in ways new entrants cannot easily match.
PolicyChildren need strongerPolicyPolicy watch
Children need stronger defaults in generative AI products.
Developmental vulnerability, persuasive interfaces and sensitive data make ordinary disclosure insufficient.
PolicySchool AI policyPolicyPolicy watch
School AI policy should protect learning, not police every sentence.
Clear assignment-level rules and better assessment design work better than unreliable detection.
PolicyInternational AI standardsPolicyPolicy watch
International AI standards are quietly writing the operational rulebook.
Shared definitions and management practices can make compliance portable across borders.
PolicyPublic-sector AI procurementPolicyPolicy watch
Public-sector AI procurement can create a market for evidence.
Governments can demand testing, accessibility and auditability before vendors treat them as standard features.
PolicyOpen-source AI policyPolicyPolicy watch
Open-source AI policy needs a more precise vocabulary.
Weights, code, data and licences may be open in different combinations, with different benefits and risks.
PolicyAI incident reportingPolicyPolicy watch
AI incident reporting should create learning, not a paperwork graveyard.
Comparable records can reveal recurring failures if organizations know what to report and users see the results.