21/03/2020
New multidisciplinary Stanford Law School research article: ‘Machine Learning & EU Data Sharing Practices’, published in Stanford - Vienna Transatlantic Technology Law Forum, Transatlantic Antitrust and IPR Developments, Stanford University, Issue No. 1/2020. 😎
The article connects the dots between intellectual property (IP) on data, data ownership and data protection (GDPR and FFD), in an easy to understand manner. It also provides AI & Data policy and regulatory recommendations to the EU legislature.
As we all know, machine learning & data science can help accelerate many aspects of the development of drugs, antibody prophylaxis, serology tests and vaccines.
In an era of exponential innovation, it is urgent and opportune that both the Trade Secrets Directive, the Copyright Directive and the Database Directive shall be reformed by the EU Commission with the data-driven economy in mind. A right to machine legibility that drastically improves access to data, will greatly benefit the growth of the AI ecosystem.
Stanford - Vienna Transatlantic Technology Law Forum, Transatlantic Antitrust and IPR Developments, Stanford University, Issue No. 1/2020 New multidisciplinary research article: ‘ Machine Learning & EU Data Sharing Practices ’. In short, the article connects the dots between intellectual