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AAAI

Interview with Salena Torres Ashton: causality and natural language

  02 May 2024
We spoke to Salena about her research, the AAAI experience, and her career path from professional genealogist and historian to machine learning PhD student.
coffee corner

AIhub coffee corner: Open vs closed science

  26 Apr 2024
The AIhub coffee corner captures the musings of AI experts over a short conversation.

Interview with Mike Lee: Communicating AI decision-making through demonstrations

  23 Apr 2024
We hear from AAAI/SIGAI Doctoral Consortium participant Mike Lee about his research on explainable AI.

Interview with Bálint Gyevnár: Creating explanations for AI-based decision-making systems

  16 Apr 2024
PhD student and AAAI/SIGAI Doctoral Consortium participant tells us about his research.

#AAAI2024 workshops round-up 4: eXplainable AI approaches for deep reinforcement learning, and responsible language models

  12 Apr 2024
We hear from the organisers of two workshops at AAAI2024 and find out the key takeaways from their events.

Is compute the binding constraint on AI research? Interview with Rebecca Gelles and Ronnie Kinoshita

  10 Apr 2024
We hear from authors of work presented at AAAI 2024 studying access to compute and the impact this has on AI research and researchers.

The moderating effect of instant runoff voting

  04 Apr 2024
Providing mathematical backing for the argument that IRV favors moderate candidates in a way that plurality doesn’t.

Interview with Francesca Rossi – talking sustainable development goals, AI regulation, and AI ethics

  28 Mar 2024
“AI used to be a scientific and technical field, now it has become a socio-technical discipline"

Interview with Amine Barrak: serverless computing and machine learning

  26 Mar 2024
PhD student, and AAAI/SIGAI Doctoral Consortium participant, Amine tells us about his research.

Interview with Raffaele Galliera: Deep reinforcement learning for communication networks

  20 Mar 2024
PhD student, and AAAI/SIGAI Doctoral Consortium participant, Raffaele tells us about his research.

#AAAI2024 workshops round-up 3: human-centric representation learning, and AI to accelerate science and engineering

  18 Mar 2024
We hear from the organisers of two workshops at AAAI2024 and find out the key takeaways from their events.

Interview with Aaquib Tabrez: explainability and human-robot interaction

  14 Mar 2024
PhD student, and AAAI/SIGAI Doctoral Consortium participant, Aaquib tells us about his research so far.

#AAAI2024 workshops round-up 2: AI for credible elections, and are large language models simply causal parrots?

  12 Mar 2024
We hear from the organisers of two workshops at AAAI2024 and find out the key takeaways from their events.

#AAAI2024 workshops round-up 1: Cooperative multi-agent systems decision-making and learning

  06 Mar 2024
Read a summary of the cooperative multi-agent systems workshop which took place at AAAI 2024 in February.

#AAAI2024 invited talk: Milind Tambe – using ML for social good

  01 Mar 2024
Winner of the 2024 AAAI Award for Artificial Intelligence for the Benefit of Humanity, Milind spoke about recent projects.

#AAAI2024 in tweets: part two

  28 Feb 2024
Find out what the conference participants got up to during the second half of the event.

Congratulations to the #AAAI2024 outstanding paper winners

  26 Feb 2024
The winners of the outstanding papers were announced at the conference during the opening ceremony.

#AAAI2024 in tweets: part one

  23 Feb 2024
Find out what the conference participants have been up to over the past few days.

Congratulations to the #AAAI2024 award winners

  22 Feb 2024
Find out who has won the prestigious 2024 awards for their contributions to the field.

How to speak to the public about AI – a Michael Wooldridge talk at #AAAI2024 today

  21 Feb 2024
Attend Michael Wooldridge's talk at AAAI today (2-3pm) to find out more about how to communicate about AI

Interview with Célian Ringwald: Natural language processing and knowledge graphs

  20 Feb 2024
PhD student, and AAAI/SIGAI Doctoral Consortium participant, Célian tells us about his research so far.

What’s coming up at #AAAI2024?

  15 Feb 2024
Find out what's on the programme at AAAI, due to take place in Vancouver next week.

Interview with Elizabeth Ondula: Applied reinforcement learning

  13 Feb 2024
We spoke to Elizabeth Ondula about her work applying reinforcement learning in different domains.

Interview with Fiona Anting Tan: Researching causal relations in text

  01 Feb 2024
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.
monthly digest

AIhub monthly digest: January 2024 – closed-loop robot planning, crowdsourced clustering, and trustworthiness in GPT models

  30 Jan 2024
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

Crowdsourced clustering via active querying

Find out more about crowdsourcing clustering, work which was presented at HCOMP 2023.

Interview with Changhoon Kim – enhancing the reliability of image generative AI

  11 Jan 2024
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.

Generating physically-consistent local-scale climate change projections

  09 Jan 2024
Find out more about work presented at the AAAI 2023 Fall Symposium.

Agent Teaming in Mixed-Motive Situations – an AAAI Fall symposium

  08 Jan 2024
Read some of the highlights of this symposium from one of the organisers.

Assured and Trustworthy Human-centered AI – an AAAI Fall symposium

, and   08 Dec 2023
Read some of the highlights from the Assured and Trustworthy Human-centered AI symposium.

An approach for automatically determining the possible actions in computer game states

  17 Nov 2023
Thoroughly testing video game software by hand is difficult. AI agents that can automatically explore different game functionalities are a promising alternative.

Utilizing generative adversarial networks for stable structure generation in Angry Birds

An approach for generating stable structures in the popular physics-based puzzle game.
coffee corner

AIhub coffee corner: Regulation of AI

  01 Nov 2023
The AIhub coffee corner captures the musings of AI experts over a short conversation.

AAAI Fall Symposium: Patrícia Alves-Oliveira on human-robot interaction design

  27 Oct 2023
We summarise the first keynote from the symposium on artificial intelligence for human-robot interaction.

Code to Joy: Why Everyone Should Learn a Little Programming – Interview with Michael Littman

  24 Oct 2023
"A deeper knowledge of computing can be very empowering, and I wanted to bring that to a larger audience."

Proceedings from #AIES2023 now available

  01 Sep 2023
You can read all of the contributions to the AAAI/ACM conference on Artificial Intelligence, Ethics and Society.






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