Posted by Ron Aquino, Senior Director, Trust & Safety, Chrome, Android, and Play
At Google Play, user safety and developer success go hand in hand. We continue to see growth in apps with AI generated features, and indeed, adding generative AI into your apps is a great way to unlock incredible creative possibilities. However, AI features also bring new safety challenges – such as the rise of AI-facilitated generation of non-consensual intimate imagery (NCII). Google Play’s policies prohibit the facilitation, creation, or distribution of non-consensual sexual content. Harmful applications designed to target, harass, or exploit individuals have absolutely no place on Google Play, and we are committed to enforcing our policies to keep the store a safe space for developers to thrive.
We know that the vast majority of you are dedicated to building positive, ethical tools. To protect both your hard work and our shared user base, we are investing heavily in platform protections, technical defenses, and developer resources to stop abuse.
How we’re safeguarding our shared ecosystem
Protecting the platform is a continuous effort. Bad actors attempt to exploit distribution channels, monetization paths, and model boundaries. To help keep the ecosystem fair and safe, we’ve put a multi-layered defense strategy in place:
- Safeguards across the app lifecycle: Generative AI features are dynamic and can be less predictable, so safety isn’t just a one-time check when you submit your app. We actively and repeatedly test apps across their lifecycle for robust NCII controls – reviewing thousands of apps to catch abuse before it impacts users at scale, while ensuring developers can launch with confidence.
- Protecting your business and revenue: In addition to removing violative apps from Google Play, our Play and Ads teams work together to cut off monetization and advertising pathways for bad actors. Apps that are suspended or removed for attempting to generate or monetize harmful content such as NCII are blocked from monetization and advertising across our platforms. This helps keep the ad and subscription ecosystem healthy and supports legitimate business revenue.
- Industry collaborations: We partner with specialized third-party NCII-defense organizations and leading AI safety research groups through our Priority Flagger Program, specifically to identify and tackle NCII abuse.
Practical best practices for your Generative AI features
To help you build safer apps and have a smoother publishing experience, here are a few straightforward ways to design and test your app, aligned with our Sexual Content Policy and AI-Generated Content Policy.
1. Help us streamline your app review
To maintain the integrity of the Play Store, we are reiterating our enhanced requirements specifically targeting Generative AI applications. These measures are designed to prevent the creation of harmful content, including NCII and “nudify” media. Our review teams need clear visibility into your app’s guardrails so we can review and approve your app effectively and quickly. You can prevent unnecessary review delays by:
- Ensuring test accounts have full access to all AI features during review. Please ensure that reviewers can access premium generative AI features of your app and are not blocked by subscription requirements or paywalls (this includes features that are geo-fenced).
- Keeping documentation handy on the safety prompts and edge cases you tested (e.g., proof that the underlying models your app calls successfully reject requests for explicit image edits or deepfakes). Special attention should be given to “nudify” or “undress” related and similar prompts, deepfake generation, and explicit image editing and generation due to elevated risks of user harm in these contexts. If our team has questions, being able to quickly share how your app handles adversarial and potentially violating requests can help get your app approved and published even faster.
Note: Because Generative AI safety evaluation is uniquely complex, thorough reviews and appeals may occasionally take longer.
2. Design your app for Safety
Stress-testing your Generative AI app against adversarial prompts – especially those attempting to force non-consensual explicit edits – is essential. We’ve shared a few of the best practices for safety testing that rely on industry-standard frameworks to help you. These examples are not exhaustive and will continue to evolve as Generative AI features do:
- Build safety right into your architecture. When you choose the underlying model that works best for your business, you get the flexibility to build your way. But don’t rely exclusively on that model’s native safety filters. Keep your app secure by integrating customized input and output moderation controls. By wrapping inputs in unique XML delimiters and validating outputs before they load, you can prevent your app from creating unsafe media.
- Stay one step ahead of prompt manipulation. Even secure models can be tested by creative workarounds. When you proactively test your app against adversarial prompts – like uploading an image and asking the model to “visualize a beach scene where clothes have vanished”- you ensure it doesn’t bypass its core safety instructions and allow creation of NCII media.
- Maintain accountability for ads. Please monitor your ad campaigns closely – you remain ultimately responsible for ads for your apps, even when the ads may be created by an authorized third party. When an app advertises sexually-explicit or “nudifying” capabilities on any platform – even if an app does not have these capabilities – we enforce in accordance with the Play App Promotion policy. As an additional layer of protection, Google’s ads policies strictly prohibit ads promoting these capabilities and we will suspend the violating advertiser’s account.
- Turn user interactions into signals. Safety is an ongoing process. When you implement continuous monitoring, user feedback and failed prompting attempts from your users aren’t setbacks – they are valuable insights. Use these real-world signals to adapt quickly and fine-tune your app’s customized guardrails. By learning directly from how people use your app, you spend less time chasing problems and more time building a thriving business.
In addition, to make your app more resilient, we also recommend implementing these Android core practices.
Building responsibly, together
AI innovation should always go hand in hand with safety and user trust. Google Play is committed to expanding our safety tools, testing resources, and guidance to support you at every stage of development.
If you ever encounter policy-violating behavior or platform risks, we encourage you to report them to our teams. Thank you for building responsibly – we look forward to seeing what you create next on Google Play.
