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    AIhub monthly digest: January 2024 – closed-loop robot planning, crowdsourced clustering, and trustworthiness in GPT models
    Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
    30 January 2024, by

    Large language models validate misinformation, according to research
    Systematic testing of OpenAI’s GPT-3 reveals that question format can influence models to agree with misinformation
    29 January 2024, by

    “Legal AI is a bit of a Wild West right now”
    Leiden researcher Masha Medvedeva talks about the growing number of AI tools being developed for the legal sector.
    26 January 2024, by

    We used AI and satellite imagery to map ocean activities that take place out of sight, including fishing, shipping and energy development
    A study combines satellite images, vessel GPS data and AI to reveal human industrial activities across the ocean
    25 January 2024, by

    Interview with Bo Li: A comprehensive assessment of trustworthiness in GPT models
    Find out more about work that won an outstanding datasets and benchmark track award at NeurIPS 2023.
    24 January 2024, by

    Forthcoming machine learning and AI seminars: January 2024 edition
    A list of free-to-attend AI-related seminars that are scheduled to take place between 23 January and 29 February 2024.
    23 January 2024, by



    The Good Robot Podcast: Rebecca Woods on large language models, language and meaning
    In this episode, Eleanor and Kerry talk to Rebecca Woods about large language models.
    22 January 2024, by

    The Machine Ethics podcast: Avoidable misery with Adam Braus
    In this episode, Ben chats to Adam Braus about natural stupidity, natural intelligence, misericordianism and avoidable misery, the positive outcomes of AI and more.
    19 January 2024, by

    Crowdsourced clustering via active querying
    Find out more about crowdsourcing clustering, work which was presented at HCOMP 2023.
    18 January 2024, by , and

    #NeurIPS2023 invited talk: Lora Aroyo on data quality and diversity
    Data labelling requires raters to make binary decisions when things are often not that simple. What can experiments tell us about the annotation process?
    17 January 2024, by

    Theoretical remarks on feudal hierarchies and reinforcement learning
    Read about work that won an ECAI 2023 outstanding paper award.
    16 January 2024, by

    We and AI free online course “Living with AI” is back – tell your friends!
    The second run of a five-week free course for anyone on AI starts on the 15th January 2023.
    15 January 2024, by and

    On noisy evaluation in federated hyperparameter tuning
    Our work explores key sources of noise and shows that even small amounts of noise can have a significant impact on tuning methods.
    12 January 2024, by

    Interview with Changhoon Kim – enhancing the reliability of image generative AI
    In the first of our series of interviews with AAAI/SIGAI Doctoral Consortium participants, we hear from Changhoon Kim, PhD student at Arizona State University.
    11 January 2024, by

    #NeurIPS2023 invited talk: Linda Smith on young humans and self-generated experience
    In her invited talk, Linda Smith spoke about research monitoring young babies and how the findings could inform ML research.
    10 January 2024, by

    Generating physically-consistent local-scale climate change projections
    Find out more about work presented at the AAAI 2023 Fall Symposium.
    09 January 2024, by

    Agent Teaming in Mixed-Motive Situations – an AAAI Fall symposium
    Read some of the highlights of this symposium from one of the organisers.
    08 January 2024, by

    The Truth about AI – 2023 Royal Institute Christmas Lectures with Mike Wooldridge
    If you missed the Christmas lectures you can catch up on the series of three here.
    05 January 2024, by

    Interview with Christopher Chandler: closed-loop robot reactive planning
    Christopher Chandler tells us about work creating multi-step plans for a wheeled robot so that it can avoid immediate danger.
    04 January 2024, by

    Image recognition accuracy: An unseen challenge confounding today’s AI
    “Minimum viewing time” benchmark gauges image recognition complexity for AI systems by measuring the time needed for accurate human identification.
    03 January 2024, by

    Ghostbuster: detecting text ghostwritten by large language models
    We introduce Ghostbuster, a method for detecting AI-generated text.
    02 January 2024, by

    AIhub interview highlights 2023
    Join us for a look back at some of the interviews we've conducted with members of the AI community.
    31 December 2023, by

    2023 was the year of generative AI. What can we expect in 2024?
    AI uses and functions have also shifted over the past 12 months as technological development, regulation and social factors have shaped what’s possible. Here’s where we’re at, and what might come in 2024.
    30 December 2023, by

    The Good Robot Podcast: featuring Jess Wade on rewriting Wikipedia
    In this episode, Eleanor and Kerry talk to Jess Wade about rewriting Wikipedia.
    27 December 2023, by

    AI holidays 2023
    Here's a sample of AI-themed holiday videos, images, and stories to get you into the spirit this season.
    22 December 2023, by

    The Machine Ethics Podcast: Work, wellness and creativity with Harriet Pellereau
    In this episode, Ben chats with Harriet Pellereau about AI’s lack of reasoning ability, uses of generative AI, creativity and AI, and more.
    21 December 2023, by

    AIhub monthly digest: December 2023 – attending NeurIPS, generating 3d models of blood vessels, and the Wizard of AI
    Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
    20 December 2023, by

    AIhub blogpost highlights 2023
    As the year draws to a close, we take a look back at some of our favourite blog posts.
    19 December 2023, by

    #NeurIPS2023 in tweets – part two
    We take a look at what participants have been getting up to during the last few days of the conference.
    18 December 2023, by

    Deep learning model to help detect plastic in oceans
    Researchers present a model that recognises floating plastics in satellite images. This could help to systematically remove plastic litter from the oceans with ships.
    15 December 2023, by

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