Responsible AI in Telecommunications: Industry Guidelines and Best Practices
GSMA AI Working Group
GSMA
Abstract
This industry report establishes guidelines for responsible AI deployment in telecommunications networks. Developed with input from 45 operators worldwide, the guidelines cover seven pillars: fairness in resource allocation, transparency of AI decisions, privacy protection, safety assurance, accountability structures, environmental sustainability, and inclusivity. Each pillar includes specific, actionable requirements with compliance checklists. The report also proposes an industry certification program for responsible telecom AI.
AI Summary
- Industry guidelines for responsible AI in telecom from 45 operators.
- Seven pillars covering fairness, transparency, privacy, safety, and more.
- Actionable requirements with compliance checklists for each pillar.
- Proposed industry certification program for responsible telecom AI.
Key Findings
- 1Only 25% of operators have formal responsible AI policies for network AI.
- 2Fairness in resource allocation has direct measurable impact on digital equity.
- 3Customer-facing AI requires higher transparency standards than network-internal AI.
Industry Implications
Operators should adopt these guidelines before regulation mandates them.
Certification could become a competitive differentiator.
Sets the foundation for 6G AI governance frameworks.
Read the Original Paper
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