Digital Advertising Alliance Reviews AI Data Use Guidelines

June 05, 2025
The Digital Advertising Alliance (DAA) is reviewing its self-regulatory principles to address AI systems' use of interest-based advertising data, as announced in a press release.

The Digital Advertising Alliance (DAA) has announced a review of its self-regulatory principles to address the application of these guidelines to AI systems and tools. This initiative, announced in a press release, aims to develop new guidance for the collection and use of interest-based advertising (IBA) data by AI technologies.

The DAA's Principles and Communications Committee will oversee the review process, focusing on ensuring that companies provide consumers with appropriate information and control over their data. The review will consider the current and anticipated use cases for IBA data by AI systems, consumer expectations, and any legal or regulatory gaps.

Michael Signorelli, a partner at Venable LLP, emphasized the importance of keeping the industry's self-regulatory regime up to date with technological advancements. The DAA plans to convene with stakeholders, including trade associations, advertisers, and ad tech providers, to evaluate and potentially set new AI guidance for its principles.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like AI Policy Brief, Sales & Marketing AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Subscribe to Sales & Marketing AI Weekly

News about AI tools and innovations for Sales and Marketing professionals.

Whitepaper

Governing the Future: A Strategic Framework for AI Adoption in Financial Institutions

This whitepaper explores the transformative impact of artificial intelligence on the financial industry, focusing on the governance challenges and regulatory demands faced by banks. It provides a strategic framework for AI adoption, emphasizing the importance of a unified AI approach to streamline compliance and reduce operational costs. The document offers actionable insights and expert recommendations for banks with fewer than 2,000 employees to become leaders in compliant, customer-centric AI.

Read more