Academic
Academic
Bibliometric analysis of natural language processing using CiteSpace and VOSviewer
Copyright and AI training data—transparency to the rescue?
Abstract Generative Artificial Intelligence (AI) models must be trained on vast quantities of data, much of which is composed of copyrighted material. However, AI developers …
Copyright and Artificial Creation: Does EU Copyright Law Protect AI-Assisted Output?
AbstractThis article queries whether and to what extent works produced with the aid of AI systems – AI-assisted output – are protected under EU copyright …
Copyright, text & data mining and the innovation dimension of generative AI
Abstract The rise of Generative AI has raised many questions from the perspective of copyright. From the lens of copyright and database rights, issues revolve …
Trustworthy AI and Corporate Governance: The EU’s Ethics Guidelines for Trustworthy Artificial Intelligence from a …
Abstract AI will change many aspects of the world we live in, including the way corporations are governed. Many efficiencies and improvements are likely, but …
Main-memory triangle computations for very large (sparse (power-law)) graphs