Clarity
You know where AI touches your organization, where the exposure sits, and where governance is missing.
See all servicesAI Governance,made practical.
Integrity AI helps organizations understand where AI creates risk and build the governance to manage it.
The Problem
AI is already in your organization.
Projects, contracts, customer data, and internal knowledge are moving into AI tools every day. For most organizations, none of it is visible and none of it is governed.
The biggest AI risk is not the technology. It is what you cannot see.
Someone is going to ask
A boardA funderA regulatorAn auditor
When they ask what AI is doing inside your organization, the answer cannot be a guess.
The Outcome
AI Governance,
Literacy &
Accountability
Good governance is not bureaucracy. It is clarity about what AI is for, who owns it, and where the boundaries are. That clarity is what lets your people move.
Confidence
Your people know what is expected of them, and use AI effectively and responsibly.
See all servicesControl
When a board, funder, or regulator asks about your AI use, you have the answer in writing.
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Governance assets you keep
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Steps in every engagement
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Published works
Our Services
Two practices, one standard.
Consulting
AI Governance
AI governance is the set of policies, processes, and accountability structures that determine how an organization uses AI, who owns it, and what happens when it goes wrong. Every engagement starts with how AI is already used, then produces the assets your team keeps: a safe use standard, a risk map, and a board briefing.
Every engagement produces three governance assets your team keeps, built around how AI actually moves through your organization. Together they become the answer when someone asks what AI is doing inside it.
- AI Safe Use Standard
- AI Risk Map
- Executive Board Briefing
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
AI regulation is moving quickly. We track what is changing and translate it into plain language, so your team understands which developments are worth paying attention to and can take the right questions to your own legal counsel.
- Plain-language briefings on regulatory developments
- What a change means for your governance work
- Questions to bring to your legal counsel
Education
AI Literacy
AI literacy is the ability to understand what AI systems do, where they fail, and how to use them responsibly. Governance only works when people have it. From a keynote for 500 people to hands-on training for your team, Integrity AI builds AI literacy that is tailored, practical, and grounded in real consequences.
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
The Process
How every engagement works
Every engagement is built around your organization, and begins by understanding how AI is already being used. From there, everything is tailored to your people, your risks, and your goals.
Step 01
Scope
A short call to understand how AI shows up in your work.
Step 02
Map
Identify where AI is used, where risk exists, and where the governance gaps are.
Step 03
Target
Determine who needs what, across leadership, managers, and staff.
Step 04
Build
Everything is customized around your organization, then handed to your team.
What You Keep
Governance Assets
Every engagement produces lasting governance assets. Not just training, but real organizational infrastructure your team owns.
01 / 03
AI Safe Use Standard
A written standard for how your employees use AI effectively and responsibly, in language they can follow.
Standard
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
Techno Brew Podcast
Guest on "Pioneering Ethical Innovation & Understanding AI as a Partner" with Philippe Beaudoin and Anshula Chowdhury.
PodcastDecember 8, 2025
04
Queen's University Mentorship
Workshop "How to ensure you are using AI to your advantage" for Alumni Mentorship Series.
WorkshopNovember 10, 2025
05
U of T Hacks Keynote
Keynote Presentation on the importance of ethical considerations in product design
KeynoteJanuary 17, 2025
06
Toast Dash Workshop
Workshop "AI in the Open" on AI's regulatory landscape & ethics in responsible innovation.
WorkshopNovember 20, 2024
07
U of T Industry Spotlight
Panelist on "Women in Al: Advancing Innovation, Ethics, and Impact in the Workplace"
PanelNovember 19, 2024
08
Platform CyberBytes
Workshop "AI IRL: How You Interact with AI and How to Stay Safe" for marginalized youth.
WorkshopJune 22, 2025
09
City of Kingston
Consulting, policy development, risk assessment, and corporate learning recommendations.
AI GovernanceSeptember 12, 2025
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.
Integrity AI is an AI governance and education practice for organizations using AI. Based in Toronto, Ontario, it works with organizations across Canada. 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 in 2022 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
Know Where AI Creates Risk
Start with a scoping call: one short conversation about how AI shows up in your organization.
Education
Bring Erin to Your Event
Tailored, engaging education on AI — from building capabilities to managing risk.
FAQ
Frequently asked questions
Integrity AI is an AI governance and education practice for organizations using AI. It helps public institutions and corporate teams know exactly where AI creates risk and how to handle it, through governance frameworks, a written standard for safe AI use, and AI literacy training. Founded by Erin Peterson, Integrity AI is based in Toronto, Ontario and works with organizations across Canada.
Every engagement produces governance assets the organization keeps. An AI Safe Use Standard describing how employees use AI effectively and responsibly. An AI Risk Map showing where AI already exists, where exposure sits, and where governance is needed. An Executive Board Briefing covering AI usage, governance approach, current risks, and mitigation strategy. Together they become the answer when a board, funder, regulator, or auditor asks about your AI use.
Every engagement is built around your organization and begins by understanding how AI is already being used. Scope is a short call to understand how AI shows up in your work. Map identifies where AI is used, where risk exists, and where governance gaps sit. Target determines what leadership, managers, and staff each need. Build customizes everything around your organization and hands it to your team.
No. Integrity AI builds the risk assessment frameworks and tools, and makes sure your team can use them. Governance only works if it lives inside the organization, not with an outside consultant. You get structured, repeatable processes your team owns and applies with confidence.
Consulting builds the governance practices inside your organization: the policies, risk frameworks, and accountability structures. AI literacy teaches your people what AI systems do, where they fail, and how to use them responsibly, so that governance actually gets applied.
Public institutions and corporate teams, along with startups and universities. Integrity AI's frameworks are built for the organizations deploying and using AI, not for the labs building the models. Past work includes the City of Kingston, Queen's University, and the University of Toronto.
Integrity AI is based in Toronto, Ontario, and works with organizations across Canada.
No. Integrity AI builds AI governance frameworks, tools, and education. It does not provide legal advice.
Start with a scoping call. Reach out through the contact form or email erin@integrityai.ca with details about your team, event, or project. Every engagement is personally scoped and delivered.
Contact
Get in Touch
Start with a scoping call: one short conversation to understand how AI shows up in your organization.
Email Us
erin@integrityai.caThe Guarantee
Your people leave with a written AI standard they can actually use. If they cannot point to a clear standard for using AI when the engagement finishes, Integrity AI keeps working until they can, at no additional cost.
Privacy Note
Your information will only be used to respond to your inquiry. We never share contact details with third parties.