At Meta, advancements in AI are transforming various aspects of our operations. From enhancing security and privacy to supporting businesses and users, AI helps us align our activities with our commitment to reducing risk. This leads to safer products for the billions of people who use our services daily.
We aim to create app and product experiences that meet the trust and safety standards people expect. With AI progressing rapidly, we are rethinking how we achieve this goal. We are transforming our product Privacy Review into a comprehensive Risk Review program that relies heavily on AI. This shift allows us to identify risks earlier, apply safeguards consistently during product development, and continuously monitor outcomes. As a result, our teams can build safer products and services.
What’s Risk Review?
Before a new product or feature appears on devices, Meta teams conduct a thorough risk review. This process identifies and mitigates potential privacy, safety, and security concerns, ensuring compliance with legal requirements. For instance, it can determine if a feature needs specific safeguards to protect user data or how to incorporate tools for managing information.
Implementing AI Solutions
Previously, risk review involved a lot of manual work. Experts spent hours gathering information and completing forms to start a review. With tens of thousands of reviews each year, Meta needed a scalable solution.
Our AI-powered Risk Review program automates and optimizes essential parts of the process. It pre-fills documentation and highlights relevant product requirements, speeding up reviews. It also allows teams to quickly scan proposals during development, identifying potential issues early and suggesting solutions before testing begins.
This AI-driven program acts as a constant risk detection tool, assisting teams at every stage of the review process. It helps catch potential issues and recommends mitigations while code is written, not afterward. The aim is to build a compliance culture where manual processes are secondary, ensuring reliable application of safeguards and standards at scale.
Practical Implications:
- Earlier signals during product development;
- Consistent application of standards and safeguards;
- Increased focus on novel and high-impact cases;
- Ongoing monitoring to maintain protections as products evolve;
- Faster, more accurate application of new regulatory requirements.
This approach is not just about speed but about achieving better outcomes for people. AI helps us analyze vast data volumes and compare new products against global policies and regulations. With AI, we can monitor changes in data protection laws worldwide and update our products accordingly.
Strengthening Human Expertise With AI
AI’s role in Risk Review complements human judgment rather than replacing it. AI allows people to spot patterns and identify issues that might otherwise be missed. By combining AI’s efficiency with human expertise, we provide better protections for users.
AI often performs an initial check, while experts verify accuracy, oversee processes, and address complex challenges requiring human insight. Humans design our risk review systems and set guidelines for AI use. As technology scales, people guide its direction. This trend is seen across the industry, with companies developing integrated risk management approaches.
For the public, AI-powered risk review means greater trust in everyday products and services. For companies, it means innovating with more confidence. In the AI era, creating new things is about building systems that ensure a safer, more reliable digital world for everyone.
