5 citations · 8 across the 4 of their papers we have counts for
4 papers
The Case for Contextual Copyleft: Licensing Open Source Training Data and Generative AI
Grant Shanklin, Emmie Hine, Claudio Novelli +2
The proliferation of generative AI systems has created new challenges for the Free and Open Source Software (FOSS) community, particularly regarding how traditional copyleft princi…
Agentic AI Optimisation (AAIO): what it is, how it works, why it matters, and how to deal with it
Luciano Floridi, Carlotta Buttaboni, Nicolas Gertler +4
The emergence of Agentic Artificial Intelligence (AAI) systems capable of independently initiating digital interactions necessitates a new optimisation paradigm designed explicitly…
AI Ethics Statements -- Analysis and lessons learnt from NeurIPS Broader Impact Statements
Carolyn Ashurst, Emmie Hine, Paul Sedille +1
Ethics statements have been proposed as a mechanism to increase transparency and promote reflection on the societal impacts of published research. In 2020, the machine learning (ML…
RAFT: A Real-World Few-Shot Text Classification Benchmark
Neel Alex, Eli Lifland, Lewis Tunstall +9
Large pre-trained language models have shown promise for few-shot learning, completing text-based tasks given only a few task-specific examples. Will models soon solve classificati…