At the Advertising Standards Authority (ASA) they’re committed to using technology to deliver more effective regulation. Since 2021, they’ve been investing data science capabilities and building a team to help them take on the specific challenges of regulating online advertising.
In this article they 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. Their 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 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 – ASA 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.
For example, in 2021/2022, the ASA laid out rules for advertising cryptocurrency services, including requiring risk warnings and clarifying that ads shouldn’t do things like encourage people to invest with credit. As always, the ASA worked with others to develop and implement those rules: the Financial Conduct Authority (FCA), advertisers and other industry partners. But we also needed to monitor compliance and act quickly when non-compliant ads appeared.
In the past, the ASA would have relied on limited, labour-intensive manual searches and complaints from the public to stay on top of any non-compliant ads. Today, they use their 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 them 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 the Active Ad Monitoring system has already led to hundreds of ads being either amended or withdrawn.
At the ASA they are not just investing in AI, they are committed to creating and deploying real-world applications that lead to fewer non-compliant ads. ASA is, therefore, continuing to rapidly develop the Active Ad Monitoring system, making it an even more core part of the way they regulate.
Source: ASA
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