Many Web sites, particularly e-commerce sites, collect large amounts of personal information about individuals ' such as their e-mail address, home address and banking details.
Given the ever-increasing amount of
Given the ever-increasing amount of data that is collected and the sensitivity surrounding the use of personal data for market research and e-commerce purposes, Web site owners need to be aware of how they use the information they have collected and their obligations to the individuals concerned. In Europe, the European Union (EU) Data Protection Directive 1995 (Directive) aims to provide a working balance between the needs of data users and the public by facilitating and encouraging the free movement of personal data, while at the same time respecting the fundamental rights and freedoms of individuals ' notably their right to privacy. The Directive is intended to harmonize the position in European member states that, in the past, afforded different levels of protection to individuals. In particular, the Directive gives national regulators powers to control what type of data can be processed abroad and allows them to halt exports of personal data to countries deemed not have adequate protection, such as the United States.
Many Web sites, particularly e-commerce sites, collect large amounts of personal information about individuals ' such as their e-mail address, home address and banking details.
Given the ever-increasing amount of
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New York is one of the first states to adopt laws to regulate artificial intelligence use in advertising and to strengthen post-mortem publicity rights regarding AI-generated replicas and “synthetic performers.” Given the state’s role as a bellwether for consumer-protection and advertising regulation, these new laws, combined with the state’s broader AI legislative framework, represent a shift toward transparency, consent and accountability.
State app store age verification regimes do more than reallocate responsibility between platforms and developers. They create a new data supply chain for age knowledge, one that can move COPPA questions from “do we ask age?” to “what do we do when the platform tells us?” The teams that handle this best will treat platform age signals as sensitive compliance inputs: minimize them, tightly control where they flow, and design product behavior so that minors do not trigger unnecessary collection or disclosure.
The firms leading right now chose to ask what would become possible if they managed the entire revenue lifecycle — from invoice generation to cash receipt — in one place, and what AI could actually accomplish with complete data instead of partial feeds. That is the Power of One.
A recent decision from the U.S. District Court for the Southern District of New York (SDNY), United States v. Heppner, has generated outsized commentary suggesting that the use of generative AI tools may jeopardize attorney-client privilege. A closer reading shows something far less dramatic.