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As AI continues to advance at a rapid pace, two notable foreign players have emerged: DeepSeek and Qwen. These powerful AI models, developed by a Chinese lab and Alibaba, respectively, have garnered attention for their impressive capabilities and potential to disrupt the AI industry. However, alongside their technological prowess comes a host of privacy concerns that warrant closer examination. This article delves into the privacy pitfalls associated with these AI models and explores the implications for users and the broader AI ecosystem.Continue Reading Privacy Pitfalls in AI: A Closer Look at DeepSeek and Qwen

Takeaways

  • Human Authorship is Essential for Copyright Protection
  • AI as an Assistive Tool Does Not Negate Copyright Eligibility
  • Transparency in Disclosures is Crucial

The U.S. Copyright Office has released Part 2 of its comprehensive report on AI, delving into the complex issue of copyrightability for works created using generative AI systems. This eagerly anticipated report addresses the fundamental questions surrounding human authorship, creative control, and copyright protection in an era of rapidly advancing AI technologies. As generative AI continues to reshape creative industries, the Copyright Office’s findings provide crucial guidance on how existing copyright law applies to AI-assisted and AI-generated works.

In its report, the Copyright Office reaffirms several fundamental principles while providing clarity on how existing copyright law applies to works involving AI. Key findings from the report includeContinue Reading The Future of Creativity: U.S. Copyright Office Clarifies Copyrightability of AI-Generated Works

In Greek mythology, Sisyphus was punished by Hades for cheating death (twice) by forcing him to roll an immense boulder up a hill only for it to roll back down every time it neared the top. AI stakeholders know the feeling. Attempting to keep pace with the downpour of artificial intelligence-related regulation, guidance, rules and requirements emerging over the past two years feels like a mythical challenge.

At any point in time, there are 50 U.S. states, five inhabited territories, the White House, a federal district, a dozen federal agencies, a hundred-odd state agencies and a couple thousand municipalities all tackling the same question: what are the rules for a safe, legal and generally non-evil deployment of artificial intelligence tools?

Different regulators have come up with different answers to that question. What have they focused on so far?Continue Reading Understanding Trends in AI Legislation

Colorado just became the first U.S. state to pass a law (Senate Bill 24-205 “SB 24-205” or the “CAIA”) regulating consumer harms arising out of artificial intelligence (“AI”). While the CAIA will not go into effect until February 2026, it is part of a growing trend in the U.S., including, most notably, the White House’s guidance on “Algorithmic Discrimination Protections” published at the end of 2023.Continue Reading Colorado’s Artificial Intelligence Act (CAIA) – The First U.S. State Law Regulating Consumer Harms Arising Out of AI

That whistling sound you hear may not be an old-school newspaper walking past a graveyard—it may well be an AI industry-killing asteroid. On December 27, 2023, the New York Times filed a groundbreaking suit against OpenAI and Microsoft. The Times alleged copyright infringement, vicarious copyright infringement, contributory copyright infringement, violations of the Digital Millennium Copyright Act’s prohibition on removing copyright management, unfair competition, and trademark dilution. The 69-page, 204-paragraph complaint, filed in the Southern District of New York, alleges, among many other things, that:Continue Reading Will the New York Times Take Down Large Language Models?

In a very short time, AI has evolved from an abstract idea to a practical tool. This demands legal thinking that can account for its use. AI as a concept began in the 1950s when well-known mathematician and scientist Alan Turing conceptualized using computers to simulate intelligent behavior and critical thinking. However, even though labs developed checkers and chess programs in the 1950s and rudimentary chatbots by the 1960s, hardware and software constraints made AI inaccessible to most people until the 2000s, when developers began to integrate deep learning into AI applications. Today, cell phones, computers, and other intelligent machines perform complicated functions that once only inhabited human imagination and (science) fiction. For example, map applications use AI to help drivers efficiently navigate traffic; social media applications use AI in facial recognition functions; digital devices use AI for voice recognition commands; and cars are increasingly self-driving with the help of AI. In addition, businesses use AI to predict consumer trends, monitor employees, and make important financial decisions such as approving loans and deciding customers’ insurance policies. The potential applications of AI are still being realized, and the possibilities seem endless.Continue Reading An Overview of AI