Seyfarth’s Advertising & Marketing Group to Present ANA Webinar
On Tuesday, June 13 at 1:00 p.m. Eastern, Seyfarth attorneys Kristine Argentine, John Tomaszewski, and Paul Yovanic will present at the Association of National Advertisers webinar, “Emerging Issues Surrounding Privacy Class Actions and Compliance in 2023.”
The webinar will address the recent surge in consumer class actions, compliance considerations, and recent developments
Use of ChatGPT in Federal Litigation Holds Lessons for Lawyers and Non-Lawyers Everywhere
You may have recently seen press reports about lawyers who filed and submitted papers to the federal district court for the Southern District of New York that included citations to cases and decisions that, as it turned out, were wholly made up; they did not exist. The lawyers in that case used the generative artificial
AI in Legal Research: Navigating Challenges and Embracing Opportunities
The integration of artificial intelligence (AI) into the legal field has brought about numerous advancements, revolutionizing the way lawyers approach research and case preparation. However, recent incidents have raised concerns regarding the reliability and ethical implications of relying solely on AI models for legal research.
The New York Case – A Cautionary Tale
In a
Regulation of AI – the Path Ahead
Last week, a joint statement was issued by four federal agencies expressing their apprehension regarding the use of AI for discriminatory or anticompetitive purposes and outlining their plans for regulation. This comes on the heels of Elon Musk requesting a “pause” in AI development and meeting with Senator Chuck Schumer to guide the statutory framework
Artificially Yours: Who Owns Rights in AI-Generated Art?
Don’t worry, machines haven’t completely replaced humans as artists—at least, not yet. But the U.S. Copyright Office is considering the possibility.
The Copyright Office recently declared that it will not grant protection over AI-generated works, upholding its longstanding rule that non-human authors cannot own copyright. At the same time, the Office is well aware that
SCOTUS Denies Cert in Thaler – The Thorny Issue of AI Inventorship
The Supreme Court yesterday declined to hear a case brought by a computer scientist whose “invention” was in fact created by artificial intelligence. Stephen Thaler was appealing a Federal Circuit decision that interpreted the Patent Act to require a human “inventor” for purposes of obtaining a patent. The invention at issue was conceived of by
Is This the Real Life? Is This Just Fantasy? How the Music Industry Can Fight Back Against Generative AI
A new track by Drake and The Weeknd is going viral on social media and is bound to top the charts. The song “Heart on my Sleeve” details the emotional trauma of The Weeknd’s breakup with pop star Selena Gomez in a tear jerker that extends just over two minutes. The song has been hailed
Spilling Secrets to AI: Does Chatting with ChatGPT Unleash Trade Secret or Invention Disclosure Dilemmas?
If there is anything movies like The Terminator have shown us, it’s that AI systems might one day become self-aware and wreak havoc. But until Skynet becomes self-aware, let’s enjoy the AI toy that is quickly becoming a part of our daily lives. Some Samsung employees recently discovered that playing with AI models like ChatGPT may have unexpected consequences. These employees used ChatGPT for work and shared sensitive data, such as source code and meeting minutes. This incident was labeled as a “data leak” due to fears that ChatGPT would disclose the data to the public once it is trained on the data. In response, many companies took action, such as banning or restricting access, or creating ChatGPT data disclosure policies.
First, let’s talk about ChatGPT’s training habits. Although ChatGPT does not currently train on user data (its last training session was in 2021), its data policy for non-API access says it may use submitted data to improve its AI models. Users are warned against sharing sensitive information, as specific prompts cannot be deleted. API access data policy is different, stating that customer data is not used for training/tuning the model, but is kept for up to 30 days for abuse and misuse monitoring. API access refers to access via ChatGPT’s API, which developers can integrate into their applications, websites, or services. Non-API access refers to accessing ChatGPT via the website. For simplicity, let’s focus on non-API access. We’ll also assume ChatGPT has not been trained on user data yet – but, like Sarah Connor warning us about Judgment Day, we know it’s coming. Our analysis will mainly focus on ChatGPT. As noted below, this analysis may change based on a given usage policy of a chatbot.
This situation brings to mind the classic philosophical question: If a tree falls in a forest and no one’s around to hear it, does it make a sound? In our AI-driven world, we might rephrase it as: If we share our secrets with an AI language model like ChatGPT, but the information remains unused, does it count as trade secret disclosure or public disclosure of an invention?
NPE Showcase – VirnetX
VirnetX is a classic example of an NPE that does not qualify as a “patent troll.” How can you tell? Patent trolls leverage the litigation system to negotiate settlements for less than the cost of defending against a lawsuit. VirnetX, on the other hand, licenses its patents for eight and sometimes nine figures. Patent trolls