Generative AI can deliver incredible value, but only if you build it with guardrails. The RAFT framework—Risks, Alignment, Fairness, and Transparency—offers a commonsense checklist that keeps your project safe, legal, and trustworthy.
Key Stats
74%
Executives who say AI risk is a top concern
60%
Companies that lack any responsible-AI policy
3×
Growth in AI regulations since 2022
Meet RAFT: Four Straightforward Questions
| Phase | Goal | Plain-English Question |
|---|---|---|
| R – Risks | Spot what could go wrong | Where could this model cause harm or leaks? |
| A – Alignment | Keep output on-brand | Does it answer in a way our users expect? |
| F – Fairness | Avoid bias | Could any group be treated unfairly? |
| T – Transparency | Stay accountable | Can we explain how decisions are made? |
“Responsible AI isn’t a brake pedal—it’s the steering wheel that keeps you on the road to real value.”
Use RAFT as your north star. Start small, document decisions, and iterate. You’ll build trust with customers, regulators, and your own team.
References
Dataiku Blog, "Build Responsible GenAI Applications with the RAFT Framework", 2024. https://blog.dataiku.com/build-responsible-genai-applications-with-the-raft-framework