Our technologists dive into issues at the intersection of technology, consumer protection and competition. The Commission continually develops its expertise in technology to help protect consumers in the 21st Century marketplace.
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As with previously discussed security principles, many common types of software flaws can be preemptively addressed through systematic and known processes that prevent or minimize the likelihood of...
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The Federal Trade Commission routinely evaluates the privacy representations a company makes against their data handling practices. [1] When discrepancies arise between claim and reality, incorrect...
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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...
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The history of traditional open-source software provides a vision of the value that could result from the availability of open-weights AI models – including enabling greater innovation, driving...
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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...
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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...
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Some say the car a person drives can say a lot about them. As cars get “connected,” this turns out to be truer than many people might have realized. While connectivity can let drivers do things like...
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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...
Technology Blog
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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...
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For more than two decades, the FTC has been bringing enforcement actions for violations of national consumer protection laws due to companies’ poor security practices. These poor practices have...
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Today, the FTC announced four winners of the Voice Cloning Challenge, which was launched to address the present and emerging harms of artificial intelligence, or “AI”-enabled voice cloning...
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It is increasingly important to use existing legal and enforcement tools in digital and technology cases and develop and implement new or updated tools and approaches to strengthen investigations and...
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The FTC’s Office of Technology (“OT”) was founded in 2023 with the purpose of strengthening and supporting law enforcement investigations and actions, advising and engaging with FTC staff and the...
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The FTC’s Tech Summit on AI [1] highlighted three panels that reflect different layers of the AI tech stack – hardware and infrastructure, data and models, and front-end user applications. Today, we...
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Three recent FTC enforcement actions reflect a heightened focus on pervasive extraction and mishandling of consumers’ sensitive personal data. Proposed Settlements with Avast [1] , X-Mode [2] , and...
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You may have heard that “data is the new oil”—in other words, data is the critical raw material that drives innovation in tech and business, and like oil, it must be collected at a massive scale and...
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At the FTC’s Tech Summit on Artificial Intelligence, Chair Khan previewed how the FTC is using its experience and expertise to establish rules of the road for AI. In her remarks, she noted that “as we...
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A look into multi-party computation and oblivious proxies The landscape of digital privacy is constantly evolving as companies and researchers implement new methods to enhance user privacy. For...
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The launch of OT coincided with another type of technology’s rapid growth: Artificial Intelligence. And, on January 25th, OT will hold the FTC Tech Summit on AI to lead discussions among individuals...
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Data is at the heart of AI development. Developing AI models can be a resource intensive process, requiring large amounts of data and compute, [1] and not all companies have the capacity to develop...
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