Digital Advertising Alliance Reviews AI Data Use Guidelines

Jun 5, 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:

AI Safety & Regulation AI Brief AI Brief (X)
Free newsletter

Sales & Marketing AI Weekly

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

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.