Billions of people have come to trust and depend on modern telecom systems to support their needs and quality of life. As these systems adopt new technologies, it’s important trust is maintained by understanding and addressing any new risks. Artificial intelligence (AI) differs from traditional software in its construction and operation and may introduce new and varied risks, calling for new countermeasures and guardrails.
For example, the large amount of data used for AI training raises the possibility of privacy risks. Development procedures must ensure that AI models learn what is intended. The model operation should be thoroughly understood, for example, using explainability techniques. In short, to maintain the trustworthiness of the overall system, AI must itself be trustworthy: meaning,it should operate as intended and do no harm physically or ethically.
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