Generative and Agentic AI policy at Leah Chang Learning Inc.
Applies to: LCL employees, contractors, and third parties using AI tools in LCL work
Audience: Clients, project partners, and the public
Last updated: May 14, 2026
We use AI thoughtfully — and we think that matters.
At Leah Chang Learning, we’ve been paying close attention to how AI is reshaping our field. We don’t just use it because it’s there. We use it because, when applied with care and intention, it helps us design better learning experiences, work more efficiently, and serve our clients more effectively.
This policy explains what we use, how we use it, and (just as importantly) what we won’t do with it. We share it publicly because transparency is part of how we work.
Our Principles
These seven principles guide every AI-related decision we make at LCL:
- Ask first. We never use AI to process client content, materials, or intellectual property without explicit permission.
- Be transparent. We disclose when and how AI is used in every project, upfront and not after the fact.
- Keep humans in the loop. Every AI output is reviewed, edited, and approved by a qualified human before it reaches a client.
- Choose tools wisely. We prefer paid, vetted tools with clear privacy and data protection terms over free alternatives.
- Stay current. AI is moving fast. We actively invest in our own professional development so our judgment stays sharp.
- Respect the choice to opt out. Some clients and some projects aren’t the right fit for AI. We always honour that.
- Challenge bias. We are committed to questioning AI outputs for bias, inaccuracy, and gaps, and we expect our team to do the same.
- Verify sources. We always ask AI tools to provide sources and cross-check them against vetted, credible references. AI-generated citations are never used without human verification.
Our philosophy
We think of AI as a skilled collaborator: one with impressive capabilities and real limitations. It can accelerate research, generate first drafts, improve accessibility, and surface patterns in data. It cannot replace human judgment, lived experience, subject matter expertise, or the relational intelligence that makes learning design actually work.
We believe AI should be a tool for equity, making high-quality learning more accessible to more people. And we believe that getting there requires humans who are willing to do the hard work of using it responsibly.
That’s the kind of team we’re building.
How LCL uses AI
Accessibility One of our strongest use cases for AI is improving the accessibility of learning content. We use AI to rewrite materials in plain language, adjust reading levels for different audiences, generate alt text for images, and check content for readability and structure. Making learning accessible to everyone isn’t an add-on for us — it’s central to how we work, and AI helps us do it more consistently and at scale.
Strategic Problem-Solving We use AI as a strategic tool, not a shortcut. That means applying it to specific, well-defined problems: drafting learning objectives, building scenario outlines, analyzing feedback patterns, or researching emerging practices in adult learning. AI extends what our team can do — it doesn’t replace the expertise and judgment we bring to every project.
Automation and Efficiency AI helps us automate repeatable tasks so our team can focus on the work that requires human creativity and care. This includes things like transcribing meeting notes, checking documents for style consistency, and streamlining translation workflows. The goal is always to work smarter, not to reduce the human touch that makes our work effective.
Project Management and Documentation AI plays a meaningful role in how we manage projects and capture knowledge. We use it to summarize meeting notes, track action items, and keep projects moving efficiently. One of our most valuable applications is using AI to process transcripts from subject matter expert (SME) interviews — turning conversations into organized content outlines, draft documentation, and captured context that informs course development. This helps us honour the expertise of our SMEs by making sure their knowledge is accurately documented and easy to work with, rather than lost in pages of raw transcript.
Tools we currently use
A note on tool selection We prioritize paid subscriptions over free tiers wherever possible, as they typically offer stronger data privacy protections and more reliable terms of service. In some cases, we work within tools provided and hosted on a client’s own servers or organizational licenses — for example, Microsoft Copilot deployed within a client’s Microsoft 365 environment. In those cases, the client’s own data governance policies apply, which can offer an additional layer of control and security.
General AI Assistants
- Claude (Anthropic)
- Google Gemini
- Microsoft Copilot
Learning Design & Development Platforms with AI Features
- Canva (AI image generation, design assistance, and document creation)
- Translation and localization tools with AI-assisted workflows
- Articulate (AI-assisted course authoring and review)
AI Image Generation
- AI image generation tools used selectively for illustrative, non-identifiable visuals (with appropriate licensing)
- AI-assisted stock image platforms used for licensed, commercially safe visuals
AI Video
- AI video generation tools used for narrated or animated learning content, where appropriate and with client approval
“We will notify you before using any tool not listed here on your project. If a new tool raises concerns, we want to hear from you!”
How we use AI, and how we ask you first
We always get your explicit permission before:
- Uploading any of your content, materials, or data into an AI tool
- Using your brand voice, style guide, or proprietary information in AI prompts
- Applying AI to generate learner-facing content for your project
| Use case | What we do | What we upload or access |
| Writing & editing | Plain language rewrites, tone consistency, reduced word count, accessibility improvements | Draft content you’ve approved for AI use |
| Learning design | Draft learning objectives, scenario outlines, quiz questions | Course topic outlines, scoping documents and approved content |
| Visual content | Illustrative images, icons, layout concepts, AI stock imagery, concept diagrams and infographics | Prompts and mockups; no Client IP upload without permission. |
| Video content | AI-generated narration, animation, or video for learning modules | Scripts and approved content |
| Translation | AI-assisted translation, reviewed by human editors | Approved course content |
| Accessibility | Readability checks, alt text drafts, heading structure review | Approved digital content files |
| Research support | Background research, literature summaries | Publicly available information only |
| Meeting notes | Transcription and action item summaries | Meeting audio/transcripts, with your recorded permission |
| Quality assurance | Style consistency, grammar, structural review | Approved draft documents |
| Project reporting | Progress updates, visual reports, status updates, KPI measurement | Approved business goals and measurements |
What we DON’T use AI for
Some tasks require human judgment that AI simply cannot replicate. We do not use AI for:
- Evaluating people. Performance assessment, hiring decisions, or any output that directly affects an individual.
- Source verification. AI tools hallucinate citations. Any research, statistics, or references used in our work are verified by humans against original sources.
- Sensitive or trauma-informed content. Content developed for vulnerable populations, lived experience narratives, or emotionally sensitive subject matter is developed with human care and reviewed by community representatives.
- Final decision-making. AI informs our thinking. It doesn’t make our decisions.
Your rights as a Client
You have full control over how AI is used in your project:
- You can opt out entirely. We will complete your project without AI tools if you prefer.
- You can set boundaries. You decide which content, if any, may be processed through AI tools.
- You will always know. We disclose AI use in project proposals, contracts, and deliverables.
- Your IP stays yours. We do not use your materials to train AI models or share them with third parties.
How we stay current
AI tools and best practices are evolving quickly. We review this policy every three months and update it when our tools or practices change. The date at the top of this page reflects the most recent review.
If something here raises questions for you, we’d genuinely love to talk about it. Contact Leah directly at: leah@leahchanglearning.com.