Tinker, Tailor, Trust: How Developers Create Privacy Policies With and Without AI

要旨

For mobile developers to comply with privacy regulations, they must create privacy policies that accurately describe their apps' data practices. This requires a complete understanding of their apps' behaviors, including those of embedded third-party SDKs. Despite the complexity of this process, little is known about how privacy policies are created and validated. To investigate, we interviewed 20 developers from around the world about their processes, also observing them use a large language model (LLM) to prepare privacy policies for their apps. We found that developers struggle with collecting information about third-party SDKs, even when they use LLMs, and feel uncertain about the legal validity of LLM outputs. Many developers do not seek legal assistance and believe that, as long as app stores accept their privacy policies, they are protected. Our findings suggest that reliance on LLMs and developers' desire to externalize validation may result in increasingly unreliable privacy policies.

著者
Shiva Mayahi
New Jersey Institute of Technology, Newark, New Jersey, United States
Noura Alomar
King Saud University, Riyadh, Saudi Arabia
Nathan Malkin
New Jersey Institute of Technology, Newark, New Jersey, United States

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Privacy Policies

P1 - Room 133
7 件の発表
2026-04-14 18:00:00
2026-04-14 19:30:00