In November of 2023, Meta launched a service in the European Union that allowed users to utilize the Facebook and Instagram platforms “ad free” for a monthly fee. The subscription service was meant to address regulatory concerns about Meta’s vast data collection and surveillance-based advertising system that tracks consumers across websites. The concept introduced a
In the middle of the 20th century, there was a massive expansion of the retail credit market. Everything from boats to sewing machines to kitchen appliances were bought and sold through increasingly complex credit arrangements. These credit arrangements would extinguish a consumer’s rights to dispute any terms of the contract once a loan was
The frequency of class actions related to data breaches has significantly increased, with no indication that this upward trajectory will plateau. This raises the question: Are there more efficient alternatives to settling these disputes in the public eye of the courts? Moreover, is it possible to mitigate the financial burden associated with these legal battles?
For many, responding to an incident feels chaotic — questions swirling, uncertainties piling up, and no clear direction. Even when prepared with a well-rehearsed incident response plan, a data security incident places a company’s response team in a precarious situation of juggling numerous variables at once. In the chaos of determining whether a breach has
As Cybersecurity Awareness Month comes to an end and the spooky season of Halloween is upon us, no one wants to live through a cybersecurity horror story. There are some simple precautions every business and household can participate in to help keep their data and information safe. We have outlined a few below with a
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
California, home to the highest number of registered vehicles in the U.S., is at the forefront of a critical issue – the privacy practices of automobile manufacturers and vehicle technology firms.
The California Privacy Protection Agency (CPPA), the state’s privacy enforcement authority, has messaged that it is launching an enforcement initiative. This initiative seeks to