Welcome to our August 2022 monthly digest, where you can catch up with any AIhub stories you may have missed, get the low-down on recent events, and much more. This month, we continue our conference coverage, chat to winners of best paper awards, and listen to some interesting podcasts.
In the latest episode of new voices in AI, host Joe Daly talks to Dimitri Coelho Mollo about his work on philosophy, cognitive science and AI.
Wouldn’t it be handy to be able to automatically update information in an outdated article? Well, Robert Logan, Alexandre Passos, Sameer Singh and Ming-Wei Chang designed an algorithm to do just that in their paper FRUIT: Faithfully Reflecting Updated Information in Text. This work won them a best new task award at NAACL 2022 (Annual Conference of the North American Chapter of the Association for Computational Linguistics). In this interview, Robert tells us about their methodology, the main contributions of the paper, and ideas for future work.
Dan Malkin, Tomasz Limisiewicz, Gabriel Stanovsky received an outstanding new method paper award at NAACL 2022 for their work A balanced data approach for evaluating cross-lingual transfer: mapping the linguistic blood bank. We spoke to Dan, who told us about multilingual models, the cross-lingual transfer phenomenon, and how the choice of pretraining languages affects downstream cross-lingual transfer.
The 39th International Conference on Machine Learning (ICML 2022) took place in Baltimore last month. There were four invited talks at ICML 2022 which we summarised these in two posts:
#ICML2022 invited talk round-up 1: towards a mathematical theory of ML and using ML for molecular modelling
#ICML2022 invited talk round-up 2: estimating causal effects and drug discovery and development
The 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJACI-ECAI 2022) took place from 23-29 July, in Vienna. As part of the conference there were eight fascinating invited talks. In this post, we summarise the presentation by Mihaela van der Schaar, who talked about some of the opportunities for machine learning in medicine.
After a two year pandemic-enforced break, Deep Learning Indaba returned this year, taking place from 21-26 August. This is the annual meeting of the African machine learning community with the mission to strengthen African machine learning. Find out what the attendees got up to in our tweet round-up of the event.
In the latest episode of Computing Up, Oriel FeldmanHall (Brown University), joins hosts Michael and Dave in a wide-ranging discussion starting with what reinforcement learning does and doesn’t mean. She turns the tables to ask what computer scientists do and don’t get wrong about mind and brain and learning in general.
How does the government use algorithms? How do algorithms impact social services, policing, and other social services? And where does Silicon Valley fit in? In the latest episode of the Radical AI podcast, hosts Dylan and Jess interview Shion Guha about how governments adopt algorithms to enforce public policy.
For those who weren’t able to attend the ACM FAccT conference, the organisers have made videos of all of the keynote talks, panel discussions, tutorials, and research talks available on YouTube. You can find the links to the playlists here.
In this edition of her EuropeanAI newsletter, Charlotte Stix presents an analysis of the UK’s proposal for AI regulation compared to the EU’s AI Act and Canada’s Artificial Intelligence and Data Act. You can find the archive of her newsletters, which cover topics relating to AI governance, here.