Tag: Technology

The FTC has been hard at work over the past few years. Part of the agency's mission has been to build internal muscles to better anticipate how existing and emerging technologies can harm consumers...

Today, the FTC released a staff report with OT staff’s findings from the agency’s study into large AI Partnerships and Investments. The last two years have seen the creation or expansion of three...

Today, FTC staff released initial insights from the Surveillance Pricing 6(b) study, highlighting findings that intermediaries have access to a wide swath of data types and data sources (including...

The FTC recently announced a new enforcement action in which it alleged that the data broker Mobilewalla collected and retained sensitive location information from consumers—often without their...

Don’t judge a book by its cover – how a technology is named doesn’t tell you how it is used. This is the case with Data Clean Rooms (“DCRs”), which are not rooms, do not clean data, and have...

For thousands of years, from ancient Mesopotamian markets to the modern-day yard sale, sellers have set their prices based, in part, on who was buying. In these transactions, prices can be targeted...

An anonymous messaging app marketed to kids and teens: What could possibly go wrong? A lot, allege the FTC and the Los Angeles District Attorney’s Office. A complaint against NGL Labs and founders Raj...

In March, the Federal Trade Commission hosted the first-ever Technology Forum by the International Competition Network (ICN) members in Washington, D.C. The forum brought together 21 competition...

The scientific community has a history of creating and sharing lists of important or interesting questions. The mathematician Paul Erdős, for example, famously doled out his questions to students and...

The FTC’s Tech Summit on AI 1 convened three panels that highlighted different layers of the AI tech stack: hardware and infrastructure, data and models, and consumer-facing applications. This third...

The FTC’s Tech Summit on AI [1] convened three panels that each highlighted different layers of the AI tech stack: hardware and infrastructure, data and models, and front-end user applications. This...