Digitalisation and AI along the IP value chain: Executive IP management days at CEIPI
On 13 & 14 June 2024 the next edition of the CEIPI Executive IP Management Days will be hosted in Strasbourg. The Executive IP Management Days are organized as both a presentation of the current state of the art and an exchange of experience of the participants from industry and private practice. More information can be found in the flyer and registrations are possible on the webpage. The early bird registration fee and reduced fee for I3PM members is 1.400€ and the full fee is 1.600€.
The topics which are presented there comprise:
Patenting AI – Comparing Europe & US by Stefan Müller:
“Case law relating to the patenting of AI has developed rapidly in recent years. Companies often find that the grant rates of their AI patents are significantly higher in their own jurisdiction than in other jurisdictions or that the obtained scope of protection is comparatively narrow in the other jurisdictions. An international comparison with focus on EP and US and examples of possible solutions are discussed.”
You find more information from Stefan on the differences of software patenting in the US and Europe in the recording of our IP business talk.
AI and copyright by Işıl Selen Denemeç:
“A multitude of generative AI tools for text, image, audio and video generation became recently available on the market and are used for business and private purposes. With that many copyright related questions arise regarding copyright protection and ownership for AI generated works.”
You find more information on the activities of Işıl’s I3PM committee on AI&IP on the I3PM webpage.
Trademarks in the digital world by Maria Boicova-Wynants:
“While big brands already actively navigate the complexities of online platforms and the emerging Metaverse, securing the brand’s position in the digital age becomes increasingly relevant for companies of any size. Gain insights into this shifting landscape and discover how brands can assert control over their digital presence, preventing unwanted redirections and safeguarding their online reputation.”
You find more information on NFTs and IP in the summary post of Maria’s MIPLM research project.
Generative AI and chemistry by Laura Fè:
“How can chemical companies profit from the use of AI in the development process? What are the current IP challenges for the chemical industry regarding the patent protection of generative AI solutions and how can you overcome them?”
You find more information from Laura on the chances in patenting AI in the chemical field in the recording of our IP business talk.
Patenting AI innovations: use cases and case studies by Sebastian Goebel:
“We are seeing a lot of hype around AI, and this is also true when it comes to AI patenting. SMEs must not neglect intellectual property protection. Learn from practical examples how SMEs can effectively protect their AI-based innovations and develop a sustainable IP strategy for AI patents.”
You find more information from Sebastian on patenting AI in his blogpost.
IP risk assessment by Shu-Pei Oei (黄淑佩):
“What are Intellectual Property Risks, and how do they apply to modern organizations? How can IP Managers adapt traditional IP Management models for needs in a VUCA world.”
You find more information from Shu-Pei on IP risk management in the recording of her presentation at the I3PM Quarterly.
The GenAI Revolution of Patent Management by Roland Kraml:
“Generative AI is transforming all aspects of patent work and helps to improve efficiency and effectiveness of IP processes. Learn how AI-based patent management tools can help inventors and IP managers in their daily work.”
You find more information on AI in patent management in the recording of our IP business talk with Daniel Holzner from ABP and Wolfgang Hildesheim from IBM.
AI-assisted patent analytics by Leonhard Brader:
“How can AI-assisted patent analytics be effectively used to analyse patent portfolios? Gain a better understanding of the IP strategies of competitors by the use of patent data.”
You find more information on AI-assisted patent analytics in our blogpost on the research project of Leonhard Brader and Predori.