
Courts are trying to establish how intellectual property laws should be applied in cases of self-writing software, and several cases have already been filed. To protect themselves from these risks, software companies that use generative AI need to ensure that they are in compliance with the law and take steps to mitigate potential risks, such as ensuring they use training data free from unlicensed content or they pay for the licenses – a goal that is not easy to accomplish if your AI goes fishing in the vast data pools of the internet.
Our panel will discuss the many open questions about self-writing software and copyrights. Join us and hear about what the challenges and possible solutions are to avoid breaching the intellectual property laws in Europe and the U.S.
Issues to be discussed:
• Awareness of Limitations
> Need for human oversight – will it decrease or increase with ‘smarter’ AI?
>Bad (or malicious) code – how to detect it and who will check?
• Regulation/Ethics
>Who can /should regulate? Governments and/or trade organizations?
> Bias: Who ultimately controls the selection algorithm of what to pick and where to pick from?
• Technology and Its Limitations
> Certifying code, who and how?
> Quality tests
> Dataset related questions
• Intellectual Property-Related Issues
> Do we need to rethink IP?
> How to track offenders (whom to prosecute if code is ‘stolen’?
SPEAKERS:
• Jeffrey W. Gluck, Partner, PANITCH SCHWARZE
• Louis-Pierre Gravelle, Vice President – Practice Management Committee, FICPI (International Federation of Intellectual Property Attorneys)
• Victor Gonzalez Pacheco, Adjunct Professor, IE UNIVERSITY
• Derek Slater, Founder, PROTEUS STRATEGIES
Moderator is to be announced soon.
TIME:
10:00 – 11:00 AM ET | 16:00h – 17:00h CET
REGISTRATION FEE:
EACC Members: Free
EACC non-Members: Free