The Web may not be truly worldwide, but it is getting fairly close, and
while this has created enormous opportunities, it is not without its challenges.
Among the thorniest of
The Web may not be truly worldwide, but it is getting fairly close, and while this has created enormous opportunities, it is not without its challenges. Among the thorniest of these have been issues of jurisdiction, which have been a staple of Web jurisprudence since the earliest days of e-commerce (and even before that). This has only gotten more complex as Web business models have diversified: A modern Web site for a company based in Chicago might be designed in New York, coded in California, supported in India, connected via a Virginia Internet service provider and hosted on servers in the Bahamas (offshore hosting being more and more common for both cost and privacy reasons). More importantly, the company might reasonably expect that site to be viewed by users from Brooklyn to Beijing, and perhaps to be subject to the laws of every jurisdiction in the world.
The Web may not be truly worldwide, but it is getting fairly close, and
while this has created enormous opportunities, it is not without its challenges.
Among the thorniest 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.