10 citations · 20 across the 5 of their papers we have counts for
5 papers
From Principles to Rules: A Regulatory Approach for Frontier AI
Jonas Schuett, Markus Anderljung, Alexis Carlier +2
Several jurisdictions are starting to regulate frontier artificial intelligence (AI) systems, i.e. general-purpose AI systems that match or exceed the capabilities present in the m…
How to design an AI ethics board
Jonas Schuett, Anka Reuel, Alexis Carlier
Organizations that develop and deploy artificial intelligence (AI) systems need to take measures to reduce the associated risks. In this paper, we examine how AI companies could de…
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…
Global Wheat Head Dataset 2021: more diversity to improve the benchmarking of wheat head localization methods
Etienne David, Mario Serouart, Daniel Smith +32
The Global Wheat Head Detection (GWHD) dataset was created in 2020 and has assembled 193,634 labelled wheat heads from 4,700 RGB images acquired from various acquisition platforms…