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Eran Kahana Featured on Hearsay Culture Show for Stanford University Radio KZSU-FM
February 13, 2013
Eran Kahana, special counsel in Maslon's Business & Securities Group, was recently featured on Stanford University KZSU-FM's Hearsay Culture radio program where he discussed his research at Stanford in the area of artificial intelligence (AI) and intellectual property law. In the interview, Eran discusses a number of legal issues associated with the growing trend of AI. He notes that while most consumer-level AI applications (i.e. Siri for the Apple iPhone®) are in their infancy, they will invariably mature along with the exponential growth rate of technological advancement, adding that "When that happens, we will see AI applications proliferate in many areas of our daily lives."
Eran also discusses the concept of "unsupervised learning" where Google® and Stanford researchers were able to prove a computer could learn in an abstract manner, very much like humans do. He explains that such capability can bring forth AI applications that can engage in forensic analysis and deliver results faster and more accurately than humans, suggesting that an example of such activity would be detection of IP infringement on the web, which would help content and patent owners protect against infringement.
Eran Kahana is an intellectual property attorney with a strong IT background and extensive experience advising clients in domestic and international settings. He focuses his practice on matters such as drafting and negotiating complex software, patent, and trademark licenses, joint development agreements, service agreements and a wide-range of e-commerce related matters. Eran is a frequent speaker and writer on various intellectual property topics and a Research Fellow at the Stanford Law School, Law, Science & Technology Center.
Listen to the full interview with Eran Kahana.
Eran also discusses the concept of "unsupervised learning" where Google® and Stanford researchers were able to prove a computer could learn in an abstract manner, very much like humans do. He explains that such capability can bring forth AI applications that can engage in forensic analysis and deliver results faster and more accurately than humans, suggesting that an example of such activity would be detection of IP infringement on the web, which would help content and patent owners protect against infringement.
Eran Kahana is an intellectual property attorney with a strong IT background and extensive experience advising clients in domestic and international settings. He focuses his practice on matters such as drafting and negotiating complex software, patent, and trademark licenses, joint development agreements, service agreements and a wide-range of e-commerce related matters. Eran is a frequent speaker and writer on various intellectual property topics and a Research Fellow at the Stanford Law School, Law, Science & Technology Center.
Listen to the full interview with Eran Kahana.
