In this article we want to share more details of the ASA's Active Ad Monitoring system, which uses AI to proactively search for online ads that break the rules. The ASA is already a proactive regulator. Our expert teams are
constantly trying to understand emerging issues and monitor compliance with the rules. But the scale of online advertising makes this challenging and resource intensive. The Active Ad Monitoring system our Data Science team has built sorts through big
volumes of ads, delivering intelligence to experts across the ASA and allowing them to do their jobs more quickly and efficiently. The Active Ad Monitoring system is made up of three components:
Ad capture at scale -- The system captures ads from social media, search and display using a mix of public sources, our own internal monitoring tools and proprietary datasets AI-based
filtering -- Machine learning models are configured to spot the ads that are most likely to be relevant to a given issue, or to have specific compliance problems Expert review -- Our experts can browse and search
content related to their work via a web interface that allows them to quickly assess issues, and identify problematic examples for action
Developing the capabilities of the system is an ongoing project. At the moment it only covers a subset of the issues the ASA is working on. But it is already making an impact in high-priority areas, and currently processes more than
100,000 ads each month. In the past, we would have relied on limited, labour-intensive manual searches and complaints from the public to stay on top of any non-compliant ads. Today, we use our Active Ad Monitoring system. After
capturing ads by relevant advertisers from a range of social media platforms, the system applies machine learning algorithms to identify and flag likely non-compliant ads, for our experts to review and act on. Each week the
Compliance team is presented with an organised list of any ads that the Active Ad Monitoring system has identified as likely to break the rules, with explanations of the issues found. This has enabled us to act quickly, taking follow-up action with
advertisers to secure compliance, and working closely with platforms to take down ads where necessary. Overall, the ASA's work, assisted by our Active Ad Monitoring system has already led to hundreds of ads being either amended or withdrawn.
At the ASA we are not just investing in AI, we are committed to creating and deploying real-world applications that lead to fewer non-compliant ads. We are, therefore, continuing to rapidly develop our Active Ad Monitoring system,
making it an even more core part of the way we regulate.
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