AI is undergoing a paradigm shift with the rise of models (eg, BERT, DALL-E, GPT-3) that are trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …
M Alawadhi, J Almazrouie, M Kamil… - International Journal of …, 2020 - Springer
The introduction of autonomous vehicles (AVs) has led to a shift in liability from driver to AV. This paper is a systematic review of the literature on liability with AVs. Articles were selected …
R Crootof, ME Kaminski, W Price, II Nicholson - Vand. L. Rev., 2023 - HeinOnline
Artificially intelligent algorithms are being integrated into decisionmaking processes at mind- boggling speed and scale. 1 Governments use artificial intelligence (" Al") for law …
Scholars and advocates have proposed algorithmic impact assessments (" AIAs") as a regulatory strategy for addressing and correcting algorithmic harms. An AIA-based …
P Hacker, R Krestel, S Grundmann… - Artificial Intelligence and …, 2020 - Springer
This paper shows that the law, in subtle ways, may set hitherto unrecognized incentives for the adoption of explainable machine learning applications. In doing so, we make two novel …
MM Mello, N Guha - New England Journal of Medicine, 2024 - protectpatientsnow.org
Optimism about the explosive potential of artificial intelligence (AI) to transform medicine is tempered by worry about what it may mean for the clinicians being “augmented.” One …
M Buiten, A De Streel, M Peitz - Computer Law & Security Review, 2023 - Elsevier
The employment of AI systems presents challenges for liability rules. This paper identifies these challenges and evaluates how liability rules should be adapted in response. The …