The use of AI, including machine learning (ML), is turbo-charging the need for active and effective trade secrets management. The situation is highly nuanced, but traditional IP rights, including patents and copyright, were not designed for data or AI techniques and outputs, especially ML. Trade secrets have emerged as the default de facto protection.
• Examine the contribution of trade secret protection towards the protection of data
• Determine how far can trade secret protection contribute towards AI/ML techniques
• Analyse whether trade secret is an enhanced form of IP protection
Dr. Sam Williams
Arnie Francis
Arnie Francis is a qualified UK and European patent attorney, well-versed advising clients across a diverse range of technologies including AI, automotive, machine learning, robotics, biometrics and semiconductor IP. He advises regularly on protection strategies and enforcement of rights, including trade secrets, with a particular focus on the patentability and alternative protection of computer-related inventions, through which he developed a deep understanding of the legal requirements in several key jurisdictions including the UK, Europe and the US.
He enjoys working with high-growth start-ups and SMEs to develop actionable strategies to protect their innovations and nurture their IP portfolios.