Zee Kin Yeong (Singapore Academy Law) has posted “Accessing and Using Data for AI Systems” (The 4th Judicial Roundtable, 23 – 26 April 2024, at Durham Law School) on SSRN. Here is the abstract:
This paper discusses the copyright and data protection issues relating to accessing and using data for AI systems. The discussion commences with the issues relating to processing of data for model development. Secondary use of data, data sharing with partners or collection of publicly available data for machine learning raise issues such text and data mining in copyright law and legitimate interests in data protection law. Different issues have to be considered for the deploymentr of trained models, eg pre-deployment tests may be required under data protection laws for compliance with data security requirements. AI systems may rely on repositories and will require input data from users: there are also pertinent copyright and data protection issues to consider, such as data subject rights.
