Measuring the Effectiveness of Privacy Policies for Voice Assistant Applications
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Abstract (arXiv)
Voice Assistants (VA) such as Amazon Alexa and Google Assistant are quickly and seamlessly integrating into people's daily lives. The increased reliance on VA services raises privacy concerns such as the leakage of private conversations and sensitive information. Privacy policies play an important role in addressing users' privacy concerns and informing them about the data collection, storage, and sharing practices. VA platforms (both Amazon Alexa and Google Assistant) allow third-party developers to build new voice-apps and publish them to the app store. Voice-app developers are required to provide privacy policies to disclose their apps' data practices. However, little is known whether these privacy policies are informative and trustworthy or not on emerging VA platforms. On the other hand, many users invoke voice-apps through voice and thus there exists a usability challenge for users to access these privacy policies. In this paper, we conduct the first large-scale data analytics to systematically measure the effectiveness of privacy policies provided by voice-app developers on two mainstream VA platforms. We seek to understand the quality and usability issues of privacy policies provided by developers in the current app stores. We analyzed 64,720 Amazon Alexa skills and 2,201 Google Assistant actions. Our work also includes a user study to understand users' perspectives on VA's privacy policies. Our findings reveal a worrisome reality of privacy policies in two mainstream voice-app stores, where there exists a substantial number of problematic privacy policies. Surprisingly, Google and Amazon even have official voice-apps violating their own requirements regarding the privacy policy.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Jul 2020.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 2; 2024: 1; 2025: 2; 2026: 1.
7 papers.
- 2023"Alexa doesn't have that many feelings": Children's understanding of AI through interactions with smart speakers in their homescited by 8
- 2024Casper: Prompt Sanitization for Protecting User Privacy in Web-Based Large Language Modelscited by 8
- 2021SkillBot: Identifying Risky Content for Children in Alexa Skillscited by 3
- 2023Security and Privacy Problems in Voice Assistant Applications: A Surveycited by 3
- 2025Covert Surveillance in Smart Devices: A SCOUR Framework Analysis of Youth Privacy Implicationscited by 3
- 2026Balancing Usability and Compliance in AI Smart Devices: A Privacy-by-Design Audit of Google Home, Alexa, and Siricited by 2
- 2025"I Apologize For Not Understanding Your Policy": Exploring the Specification and Evaluation of User-Managed Access Control Policies by AI Virtual Assistantscited by 0
- 2026Balancing Usability and Compliance in AI Smart Devices: A Privacy-by-Design Audit of Google Home, Alexa, and Siri7 Jan 2026
- 2025Covert Surveillance in Smart Devices: A SCOUR Framework Analysis of Youth Privacy Implications28 Oct 2025
- 2025"I Apologize For Not Understanding Your Policy": Exploring the Specification and Evaluation of User-Managed Access Control Policies by AI Virtual Assistants12 May 2025
- 2024Casper: Prompt Sanitization for Protecting User Privacy in Web-Based Large Language Models13 Aug 2024
- 2023"Alexa doesn't have that many feelings": Children's understanding of AI through interactions with smart speakers in their homes9 May 2023
- 2023Security and Privacy Problems in Voice Assistant Applications: A Survey19 Apr 2023
- 2021SkillBot: Identifying Risky Content for Children in Alexa Skills5 Feb 2021