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People are keener to use voice-enabled technologies than ever before. Whether it is to improve employees’ productivity in corporate environments or to perform random queries from smartphones, voice technologies are revolutionising user experience around the world. Voice assistants can facilitate everyday tasks, but they raise serious privacy concerns, particularly by the way these technologies are trained to complete users’ requests. The different elements of the user’s speech (message content, voice signal), together with background sounds can be used to extract personal information from the speaker at the moment of his/her interaction with the voice-enabled system, which conflicts with privacy aspects. This report provides an overview of how personal data recorded by voice-enabled systems can be identified through the categorisation of personal information and the analysis of the context, and how these methods can be used to design private-by-design voice-based solutions that intend to neutralise personaldata and information/words thatmay reveal private information.

Practitioners Corner ∙ How can Private Information Recorded by Voice-enabled Systems be Identified?