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AAAI2024


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 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

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






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