Which set lists the responsible AI principles GitHub says it follows?
Why B is the answer
Fairness, reliability and safety, privacy and security, inclusiveness, transparency, accountability
GitHub adheres to Microsoft's six core principles, which guide how the teams design, build and test AI applications.
In detail
- GitHub lists fairness, reliability and safety, privacy and security, inclusiveness, transparency and accountability.
- Learn the six by name.
Use case
An illustrative scenario, not a real incident.
A new starter asks what Copilot's responsible AI principles are. The team lists Microsoft's six, which GitHub follows, and links each to how they review code.
See it in different ways
mindmap
root(("Responsible AI"))
n1["People"]
n2["Fairness"]
n3["Inclusiveness"]
n4["The system"]
n5["Reliability and safety"]
n6["Privacy and security"]
n7["Trust"]
n8["Transparency"]
n9["Accountability"]mindmap
root(("Responsible AI"))
n1["Fairness"]
n2["Equal treatment"]
n3["Reliability and safety"]
n4["Works as expected"]
n5["Privacy and security"]
n6["Protects data"]
n7["Inclusiveness"]
n8["Works for all"]
n9["Transparency"]
n10["Can be understood"]
n11["Accountability"]
n12["People answer for it"]Key point: Six principles guide GitHub's approach.
Why the other options are wrong
- A. Openness, profit, growth, reach, speed and the quality of generated code
- Profit and growth are not responsible AI principles.
- C. Availability, durability, latency, throughput, cost and regional coverage of the service
- These describe service quality.
- D. Speed, accuracy, scale, cost, reach and adoption across engineering teams
- These are business measures.