The impact of Artificial Intelligence (AI) on business models across various sectors challenges traditional Intellectual Property (IP) legal notions like originality, creator, author, or inventiveness. Who owns the data required to train machine learning algorithms?

In case things go wrong, will the courts believe me or will they trust the algorithms? What do authorship and originality mean in AI? How to describe an AI-related invention in a disclosure report to your university or company to file a patent application?

Can AI invent, and can those inventions be patented? This track features speakers from academia and industry to explore those questions and share best practices on the IP framework around AI.