From the course: AI for Telecom: Network Optimization and Security in 5G/Edge Systems

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Risks and ethical considerations for AI

Risks and ethical considerations for AI

From the course: AI for Telecom: Network Optimization and Security in 5G/Edge Systems

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Risks and ethical considerations for AI

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- [Presenter] In telecom, AI doesn't just make decisions, it makes impact. From customer trust to national infrastructure, the risks are real. This chapter explores the ethical and security guardrails we must build before we scale. Let's look at some of the risk mitigations and ethical considerations. You can use GSMA AI ethics guidelines. Also, there is NIST, Risk Management Framework 42001. There are also guidelines from ETSI and Cloud Security Alliance. Try to use them as you build your governance framework. Always remember to ensure that AI decisions are explainable and traceable. For example, throttling, prioritization on even the predictive maintenance. Always avoid biased in models. Don't unintentionally deprioritize rural users or certain device types, or you'll get in trouble. Always ensure privacy. Train the model responsibly with anonymized data and secure user consent. For accountability, it is always recommended to define the ownership that who is doing what for any AI…

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