Chapter 26: Ethics & Responsible AI Use
Content:
NEW CHAPTER - Critical Professional Responsibility
- Understanding AI training data and implications
- Style mimicry vs. inspiration
- Attribution and crediting AI work appropriately
- Copyright considerations
- Disclosure best practices
- Artist rights and fair compensation
- Environmental impact of AI generation
- Bias awareness in AI outputs
- Responsible use guidelines
- Industry standards and evolving norms
Practical Elements:
- Ethics decision framework
- Attribution templates
- Disclosure language examples
- Ethical checklist for projects
- Resources for ongoing education
- ⚡ Quick Win: Standard attribution statement
Integration:
- Course Connection: Links to Video Module 6.2 - "Ethics in AI Art"
- For Independent Learners: Ethics case studies for discussion
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