
Hal Ashton
@hal_ashton
animate bag of mostly fizzy water with trace elements
ID: 1321869059512848385
http://algointent.com 29-10-2020 17:39:06
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Really loved working on this! xuan (ɕɥɛn / sh-yen) Micah Carroll and Hal Ashton were a pleasure to think with. I will write a longer post tomorrow but please read our paper or at the very least skim the summary tables



xuan (ɕɥɛn / sh-yen) Micah Carroll Matija Hal Ashton I would like to highlight the work of two of my PhD students you might be interested in: - the work on moral alignment of AI agents by Elizaveta Tennant (Karmannaya) (e.g., arxiv.org/abs/2410.01639); - the work on (ir)rationality of AI agents by Olivia Macmillan-Scott (e.g.,: royalsocietypublishing.org/doi/full/10.10…).


New UCL Faculty of Laws Centre for Criminal Law event with @hirsch_ph on 'Assessing mens rea: How Criminal Law Disapproves of Our Reasons for Action' with comments by Levin Güver on Nov 25, 6:00pm. Details and booking here: eventbrite.co.uk/e/assessing-me…. Will be🔥 (Is that how you do it?)


Our paper (xuan (ɕɥɛn / sh-yen) Micah Carroll Hal Ashton) is out in Philosophical Studies link.springer.com/article/10.100…



In our next post, this Friday, Mark Dsouza (he/him) argues against recent suggestions that the criminal law should consider treating AI entities as autonomous agents, capable of being criminal defendants in their own rights. Look out for that!




📜New(ish) Paper📜with the great people over at Contextual AI "LMUNIT: Fine-grained Evaluation with Natural Language Unit Tests" We introduce natural language unit tests, a paradigm that decomposes response quality into explicit, testable criteria, along with a unified scoring


