Governance Frameworks
Design and operationalize practical, repeatable AI governance with clear roles and risk controls.
See all servicesResponsible AI,clearly explained& ethically governed.
Integrity AI partners with public institutions and corporate teams to build practical AI governance, literacy, and accountability.
What We Do
AI Governance,
Literacy &
Accountability
We help organizations build responsible AI systems through practical frameworks, education, and transparency tools.
AI Literacy & Training
Deliver and lead workshops and keynotes that demystify AI while centring safety and equity.
See all servicesTransparency & Accountability
Build and implement transparency tools such as AI use registers and risk-scoring frameworks.
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Featured initiatives
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Service areas
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Transparency
Our Services
Two practices, one standard.
Consulting
AI Governance Consulting
Practical, tailored AI governance built from the inside out. From risk assessment to policy and accountability structures, we help you deploy and manage AI with the confidence and clarity your organization needs.
A comprehensive, interconnected system of tools, policies, and processes tailored to your organization. From decision-making frameworks and risk assessment tools to accountability structures and staff guidance, every component is designed to work together, handed over with clear ownership, and built to evolve with you.
We build the frameworks and tools your organization needs to identify, assess, and respond to AI-related risks. Your team will have structured, repeatable processes they can apply with confidence.
- Risk assessment tool development
- Risk scoring and classification
- Mitigation guidance and response planning
We develop clear, actionable AI policies tailored to your organization's operations, values, and regulatory environment. From defining acceptable use to establishing requirements and responsibilities, your policies will be practical, enforceable, and built to integrate with your existing governance.
- AI use policies and acceptable use guidelines
- Procurement and vendor requirements
- Policy integration with existing frameworks
We help your organization establish clear lines of accountability and transparency across your AI use. From defining who is responsible at each stage to building systems that track, monitor, and document how AI is being used, we create the structures that ensure your AI practices are visible, traceable, and owned.
- Role-based responsibility mapping
- AI use tracking and documentation
- Oversight and transparency mechanisms
We help your organization stay informed on the evolving AI regulatory landscape and ensure your governance practices are positioned to meet emerging expectations. From global frameworks to local legislation, we provide the strategic awareness and preparation to keep you ahead of the curve.
- Regulatory landscape monitoring and briefings
- Governance alignment with emerging regulations
- Strategic readiness planning
Education
AI Education
We build AI literacy through tailored, engaging education. Whether it's a keynote for 500 people or a hands-on training for your team, we make AI governance accessible, practical, and relevant to your audience.
We bring the governance and risk perspective to the AI conversation. From conference keynotes to panel discussions, we challenge assumptions, cut through the hype, and give audiences a clear understanding of what responsible AI actually looks like in practice.
- Conference keynotes
- Panel discussions and fireside chats
- Tailored to your event and audience
We design and deliver training tailored to your team's roles, industry, and level of AI adoption. From building AI capabilities to embedding responsible practices, your people will have the knowledge and confidence to use AI effectively and responsibly.
- AI skills and capabilities training
- Governance and responsible use training
- Training content development and learning recommendations
We bring AI governance education to universities, student organizations, and community groups. Interactive, accessible, and grounded in real-world consequences, our sessions are designed to reach audiences who are building with AI but may not yet be thinking about the risks.
- University lectures and workshops
- Student and community sessions
- Conference and event collaborations
Our Work
Featured Initiatives
01 / 03
Practical tools and frameworks designed to make AI governance accessible and actionable.
Tooling
AI Risk Scoring Tool
A practical framework for evaluating and documenting AI system risks across multiple dimensions including bias and impact.
Selected Work
Consulting, education, and publications conducted by Integrity AI.
01
Transnational Tech Law Review
Read "Preventing Racism in Law: The Implementation of AI in Canadian Law using Critical Race Theory"
ResearchOctober 18, 2025
02
TMU Law Review
Read "Dependent by Design: Compute, Sovereignty, and AI Governance in Canada" on the Amicus Forum blog.
BlogApril 4, 2026
03
Queen's University Mentorship
Workshop "How to ensure you are using AI to your advantage" for Alumni Mentorship Series.
WorkshopNovember 10, 2025
04
U of T Hacks Keynote
Keynote Presentation on the importance of ethical considerations in product design
KeynoteJanuary 17, 2025
05
Toast Dash Workshop
Workshop "AI in the Open" on AI's regulatory landscape & ethics in responsible innovation.
WorkshopNovember 20, 2024
06
U of T Industry Spotlight
Panelist on "Women in Al: Advancing Innovation, Ethics, and Impact in the Workplace"
PanelNovember 19, 2024
07
Platform CyberBytes
Workshop "AI IRL: How You Interact with AI and How to Stay Safe" for marginalized youth.
WorkshopJune 22, 2025
08
City of Kingston
Consulting, policy development, risk assessment, and corporate learning recommendations.
AI GovernanceSeptember 12, 2025
09
Innovation on Board
Responsible AI implementation for a financial literacy startup.
AI StrategyJanuary 31, 2026
10
Technoethics
Technoethics: Ethical Decisions in the Technology Pipeline, published on the TechInLaw.
BlogMay 24, 2025
About Integrity AI
AI governance built from the inside out.
We believe that understanding AI's risks, biases, and legal implications should never be an afterthought. It should be built in from the start.
Erin Peterson founded Integrity AI at the intersection of engineering, law, and ethics. With hands-on experience building AI platforms at scale and a legal education focused on AI's impact on marginalized communities, she brings a rare dual perspective to AI governance, one that is technically grounded, legally informed, and equity-centered.
The Origin
Engineering taught her to build AI.
What it didn't teach changed the course of her career.
The path to Integrity AI began with a realization that reflected a much broader industry problem.
The Foundation
Computer Engineering
Erin earned a degree in Computer Engineering with a specialization in Artificial Intelligence from Queen's University before building AI models at Bell Canada and distributed inference infrastructure at a deep tech startup. Her work focused on designing and deploying production AI systems, giving her firsthand experience developing AI for real-world applications.
The Discovery
What engineering left out
While researching facial recognition systems before deployment, Erin encountered the research of Dr. Joy Buolamwini and Dr. Timnit Gebru, which had documented algorithmic bias for years. What surprised her was how disconnected this research was from the way AI was being taught and built. As she looked further, it became clear the issue extended far beyond facial recognition. Organizations were rapidly adopting AI, but governance, risk, and accountability were rarely treated as part of the engineering process.
The Realization
The problem wasn't isolated
Engineers and organizations were deploying AI without fully understanding its risks, legal implications, or accountability. Building AI had become commonplace. Governing it had not. The gap between technical innovation and responsible oversight wasn't limited to one company or one technology—it was emerging wherever AI was being adopted.
The Work
Closing the gap
Working in AI ethics at a deep tech startup and contributing to national conversations on Canada's proposed Artificial Intelligence and Data Act (AIDA) reinforced the same conclusion. Erin entered law school at the Lincoln Alexander School of Law at Toronto Metropolitan University to deepen her understanding of AI governance while founding Integrity AI to help organizations bridge the gap between technical innovation and responsible governance.
“Powerful technology requires equally powerful governance.”
What We Stand For
Three principles. Every engagement.
These guide every framework we build, every workshop we run, and every client relationship we enter.
01
Integrity
Accountability and transparency in every engagement, because governance without trust is just paperwork.
02
Equity
AI harms fall hardest on those already marginalized. We design every solution with those communities at the centre.
03
Clarity
Governance only works when people can actually use it. We make complex frameworks accessible, practical, and real.
A future where every organization using AI knows exactly what they've deployed, who is accountable for it, and what happens when something goes wrong.
See Our WorkConsulting
Build Your AI Governance Framework
Practical, tailored AI governance built from the inside out.
Education
Bring Erin to Your Event
Tailored, engaging education on AI — from building capabilities to managing risk.
Contact
Get in Touch
Tell us about your team's needs and how we can help.
Email Us
erin@integrityai.caPrivacy Note
Your information will only be used to respond to your inquiry. We never share contact details with third parties.