AI Tools for Creators
Using generative AI well as a creator: how language, image and audio models work and fail, research and scripting with fact-checking, AI editing and captions, thumbnails and A/B tests, translation, dubbing and voice consent, digital twins and virtual influencers, analytics and repurposing, AI workflows with quality gates, platform labels and content credentials, US copyright, publicity, privacy and advertising law and the EU AI Act, ethics and energy use, and a capstone production plan with a disclosure policy.
CRE-410 Year 4 3 credits 12 lessons · 5 h 37 min
Offered by HSM University · Content Creation
This is the American version of this course. See the Canadian version.
What you'll learn
- Explain at a practical level how language, image, video and audio models work and where they commonly fail
- Use AI for ideation, research and scripting with effective prompts and a documented fact-checking workflow
- Apply AI editing, captioning, audio clean-up and upscaling tools, measure caption accuracy with word error rate and judge whether tools pay for themselves
- Create and test AI-assisted thumbnails and graphics honestly, using click-through rate and standard error, while respecting copyright, trademarks and likeness
- Plan localization with machine translation, dubbing and voice cloning, estimate ROI and break-even views, and obtain informed consent for voices
- Evaluate avatars, digital twins and virtual influencers, including consent, control, disclosure and engagement-adjusted economics
- Use AI for analytics, community management and repurposing while testing explanations, reviewing filters and protecting context
- Design an AI-assisted workflow with value-risk sorting, quality gates, SOPs, AI use logs, vendor management and performance measures
- Apply platform AI labeling policies and content credentials, and distinguish AI labels from sponsorship and advertising disclosures
- Explain how US copyright, publicity, privacy and advertising law, and foreign rules such as the EU AI Act, apply to AI-assisted content
- Analyze AI uses for consent, honesty, fairness and harm, including labor impacts and estimated energy use and emissions
- Produce an AI-assisted production plan with cost estimates, quality gates, consent measures, a published disclosure policy and a risk register
Course content
12 lessons · 5 h 37 min total · final exam
- 1 How generative AI works for creators 27 min · quiz
- 2 Research, ideation and scripting with AI 29 min · quiz
- 3 AI in editing: cuts, captions, audio clean-up and upscaling 28 min · quiz
- 4 Thumbnails, graphics and image generation 29 min · quiz
- 5 Voice, dubbing and translation 28 min · quiz
- 6 Avatars, digital twins and synthetic presenters 28 min · quiz
- 7 AI for analytics, community management and repurposing 30 min · quiz
- 8 Building an AI-assisted workflow 28 min · quiz
- 9 Platform policies, AI labels and content credentials 26 min · quiz
- 10 AI, copyright, likeness and privacy law in the US 25 min · quiz
- 11 Ethics of AI content: consent, authenticity, labor and the environment 28 min · quiz
- 12 Capstone: an AI-assisted production plan and disclosure policy 31 min · quiz
- E Final exam 20 questions
Requirements
Recommended background. You can start any course at any time.
Description
Using generative AI well as a creator: how language, image and audio models work and fail, research and scripting with fact-checking, AI editing and captions, thumbnails and A/B tests, translation, dubbing and voice consent, digital twins and virtual influencers, analytics and repurposing, AI workflows with quality gates, platform labels and content credentials, US copyright, publicity, privacy and advertising law and the EU AI Act, ethics and energy use, and a capstone production plan with a disclosure policy.
Part of the Film & Photography stream, typically taken in year 4.