Click here to read the story in the Nashville Business Journal
Adams and Reese Artificial Intelligence Team Leader Jin Yoshikawa was a member of a panel of business leaders at the Nashville Business Journal’s AI Summit event held Oct. 15. The event was also covered by the business publication in the article, “Not Every Risk is Foreseeable: What Nashville Business Leaders Should Know About AI.”
“Every single person should be educated and trained on the risks and rewards using AI, all the way up to the COO and the CEO,” said Yoshikawa, a leading member of the Adams and Reese Global Intellectual Property practice group.
In addition to Yoshikawa, the NBJ panel included Matt Cybulsky, Director of Consulting and Business Intelligence for LBMC; and Scott Augenbaum, Cybercrime Prevention Trainer and retired FBI Supervisory Special Agent.
At Adams and Reese, Yoshikawa focuses his practice on AI, trademark law, anti-counterfeiting, IP litigation and dispute resolution, among additional IP matters across the globe. Born in Japan, Yoshikawa has years of experience serving diverse and global clients, including multinational pharmaceutical companies, doctors and hospital systems, beverage manufacturers, tech ventures, advertising agencies, and online content providers. He received his B.S. from Columbia University, studying Computer Science with a specialty in AI. He received his law degree from Vanderbilt University, where he served as the editor in chief of the Vanderbilt Journal of Entertainment & Technology Law and received a Scholastic Excellence Award in Professor Daniel Gervais’s class, Robots, AI & the Law.
The Adams and Reese Artificial Intelligence team works with clients to understand how AI impacts their operations. This collaboration extends to working with AI experts, technologists, and other stakeholders, ensuring that our advice is grounded in a thorough understanding of AI technologies and their practical applications. Our attorneys also represent clients in IP protection for AI technologies and creative works; copyright issues pertaining to machine learning and generative AI; AI applications in patent prosecution; compliance with data protection and privacy laws; risk assessment and management in AI implementations; AI protection in right of publicity matters; AI-related contracts and agreements; product liability related to AI products; employment issues related to the use of AI; and regulatory and ethical issues surrounding AI.