Responsible AI, Ethics & Explainability for Public Sector Telecom Use
5 Days
Course Overview
As telecom authorities and public sector organizations increasingly adopt AI for spectrum management, QoS monitoring, fraud detection, network automation, and policy analytics, ensuring that these systems are ethical, transparent, fair, secure, and accountable is critical. Unlike commercial deployments, public sector AI systems must withstand legal scrutiny, public trust requirements, and auditability expectations. This course provides a comprehensive understanding of Responsible AI principles, focusing on ethics, explainability (XAI), governance frameworks, risk management, and regulatory alignment in telecom use cases. Participants will learn how to evaluate, govern, and operationalize AI systems responsibly across the telecom domain.
Upcoming Trainings
Feb 9, 2026
Feb 23, 2026
Mar 9, 2026
Mar 23, 2026
Target Audience
- Telecom regulators and policy makers
- Government and PSU telecom officials
- AI governance, compliance, and audit teams
- Spectrum management and monitoring authorities
- Public sector IT and digital transformation leaders
- Legal, risk, and ethics officers involved in AI oversight
Prerequisites
- Basic understanding of: Telecom systems and regulatory processes
- Basic understanding of: AI concepts at a high level (helpful but not mandatory)
- Familiarity with Public sector governance and compliance workflows
- No AI programming or data science experience required