ΑΙhub.org
Lucy Smith
I am the Managing Editor for AIhub, based in Bristol, UK. Prior to AIhub, I worked in academic publishing, which followed a short stint as a postdoctoral researcher. I have a PhD in Physics from the University of Exeter and spent my undergraduate days at the University of York.
recent posts:
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› Turing Institute panel discussion on interpretability, safety and security in AI
› Forthcoming machine learning and AI seminars: April 2022 edition
› New technologies in the justice system – a UK Justice and Home Affairs Committee report
› AIhub monthly digest: March 2022 – Lanfrica, AI index report, and conferences galore
› AI UK – discussing the national AI strategy, AI Standards Hub, and data in the public eye
› Interview with Virginie Do – #AAAI2022 outstanding paper award winner
› 2022 Artificial Intelligence Index Report published
› Lanfrica: connecting African language resources – an interview with the team
› #AAAI2022 invited talks – data-centric AI and robust deep learning
› Forthcoming machine learning and AI seminars: March 2022 edition
› #AAAI2022 invited talk – Cynthia Rudin on interpretable machine learning
› Video digest: February 2022 – AAAI, new voices and a song contest
› Bart Selman’s presidential address at #AAAI2022 – incomprehensible truths, fragile chains and hidden crystals
› Hot papers on arXiv from the past month: February 2022
› AIhub monthly digest: February 2022 – AAAI 2022 in progress, the life of a dataset, and AI valentines
› Congratulations to the #AAAI2022 award winners
› AI Song Contest returns for 2022
› The life of a dataset in machine learning research – interview with Bernard Koch
› What’s coming up at #AAAI2022?
› Forthcoming machine learning and AI seminars: February 2022 edition
› Bug bounties for algorithmic harms? – a report from the Algorithmic Justice League
› Our monthly digest now available in video form
› Hot papers on arXiv from the past month: January 2022
› AIhub monthly digest: January 2022 – new voices in AI, bug bounties, and arXiv hits two million
› #NeurIPS2021 invited talks round-up: part three – the collective intelligence of army ants
› #NeurIPS2021 invited talks round-up: part two – benign overfitting, optimal transport, and human and machine intelligence
› Forthcoming machine learning and AI seminars: January 2022 edition
› Interview with Chien Lu: analyzing text documents with sophisticated covariates
› Hot papers on arXiv from the past month: December 2021
› Artificial intelligence in 2021: the AIhub roundup
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