Your prompts, their training data? AI services raise novel questions about content ownership, output rights, and how your inputs may train future models. I analyze the terms that define your rights in the AI era.
Side-by-side comparison of consumer fairness scores across major AI services.
| Service | Score | Grade | Key Gotcha | |
|---|---|---|---|---|
|
A
Anthropic (Claude)
Best in Category
|
72 | B | Clearest training data policies, transparent terms | View Review → |
|
P
Perplexity AI
|
62 | B- | Citations don't guarantee accuracy | View Review → |
|
O
OpenAI (ChatGPT)
|
55 | C+ | Training data opt-out complexity, frequent policy changes | View Review → |
|
GH
GitHub Copilot
|
52 | C | Code ownership ambiguity, license detection limits | View Review → |
|
G
Google Gemini
|
48 | C | Google ecosystem data integration | View Review → |
|
MJ
Midjourney
|
42 | C- | Public visibility default, Discord-based support | View Review → |
Most services grant you rights to outputs, but with limitations. Commercial use, attribution requirements, and ownership of AI-generated content remain legally unsettled.
Your inputs may train future models unless you opt out. Opt-out processes vary in complexity and completeness across providers.
All services impose content policies that can restrict output or terminate access. The boundaries of "acceptable use" are often subjectively enforced.
Every service disclaims responsibility for AI "hallucinations" and inaccurate outputs. You bear full liability for how you use AI-generated content.
Click through for complete analysis of each service's terms.
Questions about AI output ownership, training data rights, or enterprise licensing? I can help you understand the legal landscape of AI services.
Need help understanding your rights or resolving a platform dispute?