6-lesson course · about 2 hours
Keeping Confidential Client Assets Out of Unapproved AI Tools
For Designers, photographers, editors and creative producers using Adobe tools to develop, refine and deliver visual assets
Everything for Adobe creativesFor studio leads, freelancers and producers: audit your AI toolset, classify client assets by sensitivity, and establish a practical team policy to prevent accidental data leaks into unapproved cloud tools.
What you’ll be able to do
By the end, you can…
How it works
A tutor that meets you where you are
- Adaptive lessonsThe course material is not static. Lessons automatically adjust their depth and complexity to match your current level of experience as you move through the modules.
- One-on-one AI tutorYou have a dedicated AI tutor available 24/7 to help you apply the concepts. You can ask questions, request examples, or discuss your specific studio setup via text or voice.
- Active recall toolsTo ensure you can implement these policies in the real world, each lesson is paired with targeted quizzes and flashcards. These tools help you lock in the material before moving forward.
- Progress trackingKeep a clear record of your advancement through the six-lesson curriculum. Once you have completed all modules and requirements, you will receive a certificate of completion.
Curriculum
The curriculum
This focused course takes you from auditing your current tools to implementing a formal team policy in six steps.
Module 1Auditing Your AI Toolset2 lessons
1Automation vs. Generative AI
- Differentiate between AI automation and generative AI
- Identify which tools borrow pixels and which hallucinate them
2Auditing Data Terms and Training
- Audit the data handling terms of Adobe and third-party AI tools
- Determine if a tool trains on uploaded data
Module 2Asset Classification and Team Policy4 lessons
3Classifying Asset Sensitivity
- Classify client assets by sensitivity
- Differentiate between required and optional assets in a brief
4Creating the AI Tool Rulebook
- Create a team rulebook that assigns approved tools to specific asset classes
- Set boundaries for what may be handed to AI
5Implementing Permission Records
- Implement a record-keeping system to flag client acceptance of generated settings
- Record permission status and source versions for every export
6Assigning Human Ownership
- Establish human ownership of AI tool rules
- Designate a steward for the team's AI policy
Who it’s for
Made for you if…
Made for: Designers, photographers, editors and creative producers using Adobe tools to develop, refine and deliver visual assets
Studio Leads
To prevent junior staff from accidentally leaking NDA-protected assets into free or unapproved AI tools. You need a formal system to stop the panic of discovering a confidential product shot was uploaded to an unvetted upscaler.
Freelancers
To ensure your professional workflow complies with strict client data handling terms and avoids training third-party models on private work. This protects your reputation and ensures you don't breach contracts by using generative tools improperly.
Creative Producers
To establish a scalable system for recording client permissions and managing asset sensitivity across complex projects. You need a way to track which generated settings the client has accepted and who owns the final tool policy.
Production Managers
To create a clear operational rulebook that differentiates between AI automation and generative tools. This allows you to assign approved tools to specific asset classes, removing guesswork from the production pipeline.
Questions
Good to know
Will this course provide legal advice on copyright law?
No. This course focuses on the practical application of data handling terms and the creation of team policies to prevent data leaks. It does not provide legal advice on copyright law.
Does this course teach prompt engineering or how to use specific AI tools?
No. The curriculum focuses on the governance and safety of AI tool usage rather than how to write prompts. You will learn how to audit tools and set policies, not how to master a specific AI application.
What are the prerequisites for taking this course?
You should have a basic familiarity with Adobe Creative Cloud tools. Additionally, experience managing client projects under non-disclosure agreements (NDAs) is required to get the most value from the material.
What is the difference between AI automation and generative AI in this course?
The course teaches you to differentiate between tools that perform automation by borrowing existing pixels and generative AI tools that 'hallucinate' or invent new ones. This distinction is critical for determining which tools are safe for sensitive assets.
How does the course help me manage my team's use of AI?
You will learn how to create a team rulebook that assigns approved tools to specific asset classes. The course also guides you in designating a human steward to own these rules and manage the policy for your team.
Will I learn how to handle different types of client assets?
Yes. You will learn how to classify assets by sensitivity and differentiate between 'required' assets, which must remain unchanged, and 'optional' assets that may be processed by AI.
How do I track whether a client has actually agreed to use AI on their work?
The course teaches you to implement a record-keeping system to flag whether a client has explicitly accepted generated settings. You will also learn to record the permission status and source versions for every export.
Can I use this course to audit my existing Adobe and third-party tools?
Yes. A primary goal of the course is to teach you how to audit the data handling terms of your current tools to determine if they train their models on the data you upload.