The Metaverse Bar Association facilitates a global community of legal professionals who are experts in, or learning about, Blockchain, Web3, AI & the Metaverse.
Joined March 2023
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Anthropic is urging Congress not to block state AI laws unless a comprehensive federal framework is put in place. The debate is about who should regulate AI and at what level.
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Federal consistency can reduce compliance burdens, while state laws often respond more quickly to emerging risks. Safety testing, accountability, oversight, and regulatory authority are all becoming central questions as lawmakers determine how AI should be governed.
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The U.S. government is introducing a voluntary review process for advanced AI models before they are released to the public.
The initiative focuses on the risks that highly capable AI systems may pose to cybersecurity, critical infrastructure, and national security.
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It also raises questions about how governments can oversee rapidly developing technology while still encouraging innovation. As AI capabilities grow, the relationship between regulators and developers will likely become increasingly important.
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Blockchain.com has confidentially filed for a U.S. IPO, adding to the signs that digital asset companies are testing public markets again.
A crypto company going public has to explain its business in a very different legal environment than the last major crypto cycle.
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Public-market disclosure brings closer scrutiny of custody, compliance, regulatory exposure, volatility, customer protection, and how the company manages digital asset risk.
Article Link: reuters.com/legal/government…
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UK online safety campaigners are urging the government to restrict under-16s from using social media platforms unless those platforms meet safety standards.
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The debate is moving away from a simple “ban or no ban” question and toward platform design. Features such as infinite scroll, disappearing messages, push notifications, recommender systems, and age verification are becoming central to online safety regulation.
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Article Link: theguardian.com/technology/2…
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U.S. regulators are reportedly slowing down a proposal that would let crypto firms offer tokenized versions of public company shares.
Tokenized stocks would bring traditional securities into blockchain-based trading environments.
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That raises familiar legal questions in a new format: investor rights, custody, voting, dividends, market manipulation, disclosure, and whether token holders truly receive the same protections as ordinary shareholders.
Article Link: investors.com/news/crypto-to…
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Texas is suing Meta and WhatsApp over claims that WhatsApp misled users about the privacy and security of its encrypted messaging service.
The case is about what a platform tells users, what the technology actually does, and how privacy claims are understood by the public.
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Encryption, metadata, access, backups, and internal controls can all matter when regulators test whether a company’s privacy statements are accurate.
Article Link: reuters.com/legal/government…
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New York’s financial regulator is warning financial institutions that frontier AI models may increase cybersecurity risk because they can help identify software vulnerabilities and exploits faster and at greater scale.
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The advisory is aimed at regulated financial institutions, but the lesson is broader for legal and compliance teams advising on AI adoption. Advanced AI tools are becoming part of cyber risk, vendor risk, governance, and incident response planning.
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California’s AI training-data law is already being tested in court, with X.AI arguing that forced disclosure could expose trade secrets while regulators push for more transparency around how generative AI systems are built and trained.
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The legal question is how much transparency regulators can require without forcing companies to reveal commercially sensitive AI development information. The fight shows how quickly AI governance is becoming a dispute about evidence, disclosure and competitive advantage.
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