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At Meta, we\u2019re seeing AI advancements transform every segment of our work. From our security and privacy efforts to <\/span>empowering businesses<\/span><\/a> and <\/span>user support<\/span><\/a>, AI is helping us ensure that everything we do aligns with our commitment to mitigate and minimize risk. This translates to\u00a0 better, safer products for the billions of people who use our services every day.<\/span> Before a new product or feature even pops up on your smartphone, computer or wearable device, teams at Meta complete a robust risk review, a process that identifies and mitigates potential privacy, safety, and security concerns, and helps ensure the product complies with\u00a0 applicable legal requirements. For example, this process can help determine if a new product feature might require specific safeguards to protect sensitive user data or how to best <\/span>build in tools<\/span><\/a> for people to manage their information.\u00a0<\/span><\/p>\n For years, risk review required a lot of manual, repetitive work. For example, experts often spent hours gathering information and completing standardized intake forms just to get a review started. At Meta, we conduct tens of thousands of risk and compliance reviews each year, and we needed a solution fit for our scale.<\/span> Our AI-powered Risk Review program has helped automate and optimize essential parts of the risk review process. It can pre-fill key documentation and surface relevant product requirements upfront, reducing time spent on intake and helping reviews move faster and more consistently. It also helps our teams proactively and quickly scan product proposals during the product development phase, catching potential issues or coding gaps, and suggest solutions before product development even reaches the testing stage.\u00a0<\/span><\/p>\n In this way, our AI-powered Risk Review program is like an always-on risk detection tool that assists our teams at every stage of the risk review process, helping us catch potential issues and surface recommend mitigations for expert review <\/span>while<\/span><\/i> code is written, not afterward. The goal is to build a compliance culture where manual processes are the fallback \u2014 not the default \u2014 so we can apply safeguards and standards reliably at scale.<\/span><\/p>\n What this means in practice:<\/span><\/p>\n This work isn\u2019t just about moving faster, it\u2019s about consistently driving better outcomes for people. It\u2019s also about using the depth and precision of AI to help us analyze massive volumes of data and cross check new products and features against a global library of policies and regulations. There are hundreds of data protection laws around the world that change and evolve as technology changes and evolves. With AI, we\u2019re able to continuously monitor these changes and update our products accordingly.\u00a0<\/span><\/p>\n In most cases, this means AI is doing a first pass. Meanwhile, our experts are double checking for accuracy, conducting ongoing oversight and doing what they do best: focusing on the most novel and high-impact challenges facing the company; the thorny, complex issues that require human judgment and human strategic thinking.<\/span><\/p>\n Humans remain the architects of our risk review systems \u2014 they make the rules for how we use and oversee AI for the long-term. While technology handles the scale, people drive its direction. And we\u2019re seeing this broader shift across the industry, as companies build on privacy programs to develop more integrated, multi-domain risk management approaches \u2014 a topic that Data Protection Officers across the industry <\/span>will discuss<\/span><\/a> at the IAPP Global Summit. <\/span><\/p>\n For the public, this new era of AI-powered risk review and compliance means greater trust in the products and services they use every day. For every company, it means the freedom to innovate with even more confidence. In the age of advanced AI, creating new things isn\u2019t just about building something better \u2014 it\u2019s about building a system that enables a safer, more reliable digital world for everyone.<\/span><\/p>\n<\/p><\/div>\n
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<\/span>We\u2019re committed to building app and product experiences that offer the trust and safety standards people expect and deserve. With the rapid advancements in AI, we\u2019re fundamentally rethinking our approach to meeting this commitment and we\u2019re transforming our product <\/span>Privacy Review<\/span><\/a> into a broader, cross-company Risk Review program with AI at its core. And the results are clear. Our AI-powered Risk Review program is enabling us to identify risks earlier, apply safeguards more consistently during a product\u2019s development stage, and monitor continuously. This equips our teams to build safer products and services and deliver dramatically better outcomes.<\/span><\/p>\nWhat\u2019s Risk Review?<\/h2>\n
Implementing AI Solutions<\/h2>\n
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Strengthening Human Expertise With AI<\/h2>\n