For years, retailers have used data to understand what consumers want, when they want it, and how much they may be willing to pay. As artificial intelligence and increasingly sophisticated pricing tools make it possible to tailor prices at the individual level, the Federal Trade Commission (FTC) is signaling that the line between legitimate pricing
A year ago, Congress put online platforms on the clock. On May 19, 2025, President Trump signed the Take It Down Act into law, creating a new federal framework aimed at stopping the online spread of nonconsensual intimate imagery, such as real images, AI-generated “deepfakes,” and other harmful content circulated across websites, social-media platforms, messaging
In 2026, a wide range of California laws regulating the development, marketing, and use of artificial intelligence (AI) go into effect. Together, these bills impose new requirements on generative AI developers, frontier-model companies, healthcare-related AI tools, platforms distributing AI-generated content, and businesses that rely on algorithmic pricing. With the deadline to comply coming up quickly
During the 2024 legislative session, the Colorado General Assembly passed Senate Bill 24-205, which is known as the Colorado Artificial Intelligence Act (CAIA). This law will take effect on February 1, 2026, and requires developers and deployers of a high-risk AI system to protect Colorado residents (“consumers”) from risks of algorithmic discrimination. Notably, the Act
On May 7, 2025, the Utah Artificial Intelligence Policy Act (UAIP) amendments will go into effect. These amendments provide significant updates to Utah’s 2024 artificial intelligence (AI) laws. In particular, the amendments focus on regulation of AI in the realm of consumer protection (S.B. 226 and S.B. 332), mental health applications (
In this final blog post in the Bradley series on the HIPAA Security Rule notice of proposed rulemaking (NPRM), we examine how the U.S. Department of Health and Human Services (HHS) Office for Civil Rights interprets the application of the HIPAA Security Rule to artificial intelligence (AI) and other emerging technologies. While the HIPAA Security
The proliferation of AI-derived and processed data in the era of big data is occurring against a complex backdrop of legal frameworks governing ownership of and responsibilities with regard to that data. In a previous installment of this two-part series, the authors outlined challenges and opportunities presented by big data and AI-derived data. In this
The emergence of big data, artificial intelligence (AI), and the Internet of Things (IoT) has fundamentally transformed our understanding and utilization of data. While the value of big data is beyond dispute, its management introduces intricate legal questions, particularly concerning data ownership, licensing, and the protection of derived data. This article, the first installment in
Machine learning (ML) models are a cornerstone of modern technology, allowing models to learn from and make predictions based on vast amounts of data. These models have become integral to various industries in an era of rapid technological innovation, driving unprecedented advancements in automation, decision-making, and predictive analysis. The reliance on large amounts of data
There is a great YouTube video that has been circulating the internet for half a decade that reimagines a heuristically programmed algorithmic computer “HAL-9000” as Amazon Alexa in an iconic scene from “2001: A Space Odyssey.” In the clip, “Dave” asks Alexa to “open the pod bay doors,” to which Alexa responds with a series
The construction sector is known for its perennial pursuit of efficiency, quality, and safety. In recent years, one of the tools the sector has started leveraging to achieve these goals is predictive maintenance (PM), specifically the implementation of artificial intelligence (AI) within this practice. This approach, combined with continuous advancements in AI, is revolutionizing the