Trade Secrets Law Is Awkward Fit in AI Prompt-Hacking Lawsuit

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.

Adopting Generative AI in Medtech

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

Mitigating AI Risks for Beauty Companies

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.

Common uses for AI in beauty & associated risks

One of the most common uses for AI technology is personalizing products and offering personalized product recommendations. “As beauty has become increasingly personalized,” Bonner explained, “companies are increasingly deploying AI technologies to enable customers to visualize new looks (virtual try-on tech) or communicate with customers via chatbots that act as virtual assistants and offer personalized product recommendations.”

Continue reading “Mitigating AI Risks for Beauty Companies”

Decoding and Leveraging AI Regulations for Beauty Sector in US and EU

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.

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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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