AI Suit Illustrates Challenges for Protecting Proprietary Information

Duane Morris partner Agatha Liu is quoted in the Bloomberg Law article, “Trade Secrets Law Is Awkward Fit in AI Prompt-Hacking Lawsuit,” about a medical AI company’s novel trade secrets lawsuit that illustrates the challenges artificial intelligence presents for protecting proprietary information.

Liu said hacking AI to reveal its prompts is “not a good thing, but it’s not terribly illegal.” AI developers most likely will have to stay on top of the best practices to craft their products to save them from themselves she said.

“If you want to reduce risk, you need to up the ante and make your system more resilient and context-aware,” Liu said.

To read the full article, visit the Bloomberg Law website.

FDA Draft AI Guidance Marks a New Era for Biotech, Diagnostics and Regulatory Compliance

The U.S. Food and Drug Administration’s recent release of two draft guidance documents on the use of artificial intelligence in drug development, biologics and medical devices has sparked both excitement and skepticism. As AI increasingly permeates these fields, the regulatory landscape is just beginning to take shape—and these proposed guidelines take a step in that direction by raising awareness of important questions about the future of AI innovation in life sciences. For therapeutic, medical device and diagnostics companies—whether already implementing AI or just beginning to explore its potential—the message is clear: The landscape is evolving, and future success will require thoughtful consideration of compliance, patient safety and privacy protection from the earliest stages of AI adoption.

Read the full Alert on the Duane Morris LLP website.

Next up for Medtech: Being Generative in Domain-Specific Languages

Given the vast amounts of data available, including raw measurements, diagnostic information, treatment plans, and regulatory guidelines, the biomedical technologies sector stands to gain immensely from artificial intelligence (AI), particularly machine learning (ML).

ML, at its core, learns from training datasets to identify patterns, which can then be applied to new input data to make direct inferences. For instance, if specific body scans frequently result in a particular diagnosis, ML can be used to quickly provide that diagnosis when similar scans are encountered, thus aiding in disease diagnosis.

Read the full article by Duane Morris partner Agatha H. Liu, PhD on the MD+DI website

Common Uses for AI in Beauty & Associated Risks

Kelly Bonner and Agatha Liu of Duane Morris LLP shared their insights and experience with CosmeticsDesign on the risks of incorporating AI technology into business practices, and how can beauty companies protect themselves.

While “today’s AI technology can save a fair amount of time in not only performing conventional services, but also uncovering hidden insight into consumer motivation and behavior,” Liu noted, “on the other hand, today’s AI technology generally lacks transparency and suffers from hallucination and thus still requires a considerable amount of human review.” Therefore, she recommended that “while companies are encouraged to incorporate AI technology into their offerings, they should closely monitor how it is utilized and what it produces and make adjustments or take remedial steps as appropriate.” […]

Continue reading “Common Uses for AI in Beauty & Associated Risks”

Artificial Intelligence Compliance in the Beauty Industry

Duane Morris’ Agatha Liu and Kelly Bonner were interviewed by Personal Care Insights about the challenges and opportunities beauty companies face while using AI to appeal to younger consumer demographics. Below is an excerpt of the article.

How does the competitive landscape of the beauty industry impact businesses’ use of AI technologies, especially when it comes to targeting younger consumer segments?
Bonner
: The highly competitive nature of the beauty industry, with its desire to appeal to younger consumers, is certainly a key driver in beauty brands embracing AI tools to offer enhanced customer shopping experiences.

Can you provide some context about US AI regulations that the beauty industry should know? What do you expect is coming, especially considering the AI Act in the EU?

Liu: The EU AI Act imposes specific obligations on the providers and deployers of so-called high-risk AI systems, including testing, documentation, transparency and notification duties.

To read the full interview, please visit the Personal Care Insights page.

Beauty and the Artificial Intelligence Beast

Duane Morris partner Agatha Liu spoke with Personal Care Insights on potential risks, including personalization, appearance bias and regulatory compliance, as beauty companies integrate AI technologies.

Can you provide examples of legal issues within the beauty industry due to AI, and how they were addressed?
Liu: Yes, recently we’ve seen a number of class action suits against beauty companies alleging that their VTO tools collect users’ biometric facial information without their informed consent, in violation of Illinois’s Biometric Information Privacy Act (BIPA), which requires that companies that collect certain biometric data first obtain informed consent before collecting the data, inform consumers about use, retention and destruction policies with respect to biometric data, and take steps to protect it.

Read the full interview on the Personal Care Insights website. 

Webinar Replay: Strategic Contracting to Reduce Risk in AI

A webinar replay of the Get Smart with AI webinar series session Strategic Contracting to Reduce Risk is now available.

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The opinions expressed on this blog are those of the author and are not to be construed as legal advice.

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