A telecom company is rolling out a virtual support agent embedded in its mobile app. Before launch, the team adds screen-reader-compatible transcripts for every spoken response, a plain-language mode for non-native speakers, and holds testing sessions with customers who have motor impairments and use switch-access devices. Which Responsible AI principle is this work primarily addressing?

The correct answer is inclusiveness, designing the system so people with a wide range of abilities and backgrounds can use it. The team is deliberately removing barriers that would otherwise exclude entire groups of users: screen-reader-compatible transcripts for people who are blind or low vision, a plain-language mode for non-native speakers, and switch-access testing for people with motor impairments. That is exactly what the inclusiveness principle covers: building responsible artificial intelligence that works for people with diverse abilities, backgrounds, and circumstances rather than only the average user. The option about reliability and safety is incorrect because that principle is about the system behaving consistently and predictably under varied operating conditions, such as noisy audio or unusual phrasing, not about accessibility for different user groups. The option about transparency is incorrect because transparency concerns disclosing how the system works and what it cannot do, not adapting the interface for different abilities. The option about accountability is incorrect because accountability is about having identifiable people or teams answerable for the system's behavior and outcomes, which is a governance function separate from the accessibility features described here.