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    AAAI


    Interview with Mike Lee: Communicating AI decision-making through demonstrations
    We hear from AAAI/SIGAI Doctoral Consortium participant Mike Lee about his research on explainable AI.
    23 April 2024, by

    Interview with Bálint Gyevnár: Creating explanations for AI-based decision-making systems
    PhD student and AAAI/SIGAI Doctoral Consortium participant tells us about his research.
    16 April 2024, by

    #AAAI2024 workshops round-up 4: eXplainable AI approaches for deep reinforcement learning, and responsible language models
    We hear from the organisers of two workshops at AAAI2024 and find out the key takeaways from their events.
    12 April 2024, by

    Is compute the binding constraint on AI research? Interview with Rebecca Gelles and Ronnie Kinoshita
    We hear from authors of work presented at AAAI 2024 studying access to compute and the impact this has on AI research and researchers.
    10 April 2024, by

    The moderating effect of instant runoff voting
    Providing mathematical backing for the argument that IRV favors moderate candidates in a way that plurality doesn’t.
    04 April 2024, by

    Interview with Francesca Rossi – talking sustainable development goals, AI regulation, and AI ethics
    “AI used to be a scientific and technical field, now it has become a socio-technical discipline"
    28 March 2024, by



    Interview with Amine Barrak: serverless computing and machine learning
    PhD student, and AAAI/SIGAI Doctoral Consortium participant, Amine tells us about his research.
    26 March 2024, by

    Interview with Raffaele Galliera: Deep reinforcement learning for communication networks
    PhD student, and AAAI/SIGAI Doctoral Consortium participant, Raffaele tells us about his research.
    20 March 2024, by

    #AAAI2024 workshops round-up 3: human-centric representation learning, and AI to accelerate science and engineering
    We hear from the organisers of two workshops at AAAI2024 and find out the key takeaways from their events.
    18 March 2024, by

    Interview with Aaquib Tabrez: explainability and human-robot interaction
    PhD student, and AAAI/SIGAI Doctoral Consortium participant, Aaquib tells us about his research so far.
    14 March 2024, by

    #AAAI2024 workshops round-up 2: AI for credible elections, and are large language models simply causal parrots?
    We hear from the organisers of two workshops at AAAI2024 and find out the key takeaways from their events.
    12 March 2024, by

    #AAAI2024 workshops round-up 1: Cooperative multi-agent systems decision-making and learning
    Read a summary of the cooperative multi-agent systems workshop which took place at AAAI 2024 in February.
    06 March 2024, by

    #AAAI2024 invited talk: Milind Tambe – using ML for social good
    Winner of the 2024 AAAI Award for Artificial Intelligence for the Benefit of Humanity, Milind spoke about recent projects.
    01 March 2024, by

    #AAAI2024 in tweets: part two
    Find out what the conference participants got up to during the second half of the event.
    28 February 2024, by

    Congratulations to the #AAAI2024 outstanding paper winners
    The winners of the outstanding papers were announced at the conference during the opening ceremony.
    26 February 2024, by

    #AAAI2024 in tweets: part one
    Find out what the conference participants have been up to over the past few days.
    23 February 2024, by

    Congratulations to the #AAAI2024 award winners
    Find out who has won the prestigious 2024 awards for their contributions to the field.
    22 February 2024, by

    How to speak to the public about AI – a Michael Wooldridge talk at #AAAI2024 today
    Attend Michael Wooldridge's talk at AAAI today (2-3pm) to find out more about how to communicate about AI
    21 February 2024, by

    Interview with Célian Ringwald: Natural language processing and knowledge graphs
    PhD student, and AAAI/SIGAI Doctoral Consortium participant, Célian tells us about his research so far.
    20 February 2024, by

    What’s coming up at #AAAI2024?
    Find out what's on the programme at AAAI, due to take place in Vancouver next week.
    15 February 2024, by

    Interview with Elizabeth Ondula: Applied reinforcement learning
    We spoke to Elizabeth Ondula about her work applying reinforcement learning in different domains.
    13 February 2024, by

    Interview with Fiona Anting Tan: Researching causal relations in text
    In the second of our series of interviews with AAAI/SIGAI Doctoral Consortium participants, we hear from Fiona Anting Tan, PhD student at the National University of Singapore.
    01 February 2024, by

    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

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

    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

    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

    Assured and Trustworthy Human-centered AI – an AAAI Fall symposium
    Read some of the highlights from the Assured and Trustworthy Human-centered AI symposium.
    08 December 2023, by , and

    An approach for automatically determining the possible actions in computer game states
    Thoroughly testing video game software by hand is difficult. AI agents that can automatically explore different game functionalities are a promising alternative.
    17 November 2023, by

    Utilizing generative adversarial networks for stable structure generation in Angry Birds
    An approach for generating stable structures in the popular physics-based puzzle game.
    07 November 2023, by and

     
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