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

AIhub 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

Qin Yang 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

Lucy Smith 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

Lucy Smith 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

Lucy Smith 26 Feb 2024

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

#AAAI2024 in tweets: part one

Lucy Smith 23 Feb 2024

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

Congratulations to the #AAAI2024 award winners

Lucy Smith 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

Lucy Smith 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

Lucy Smith 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?

Lucy Smith 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

Lucy Smith 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

Lucy Smith 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

Lucy Smith 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

Yi Chen, Ramya Korlakai Vinayak and Babak Hassibi 18 Jan 2024

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

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

Lucy Smith 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

Jose González-Abad 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

Suresh Kumaar Jayaraman 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

Brian Hu, Ariel Kapusta and Tabitha Colter 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

Sasha Volokh 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

Matthew Stephenson and Frederic Abraham 07 Nov 2023

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

coffee corner

AIhub coffee corner: Regulation of AI

AIhub 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

Lucy Smith 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

Lucy Smith 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

Lucy Smith 01 Sep 2023

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

#AIES2023 – panel discussion on large language models

Lucy Smith 18 Aug 2023

Roxana Daneshjou, Atoosa Kasirzadeh, Kate Larson and Gary Marchant discuss the hype, hopes and harms of LLMs.

#AIES2023 tweet round-up

Lucy Smith 14 Aug 2023

Find out what participants got up to at the conference on Artificial Intelligence, Ethics, and Society.

Understanding the impact of misspecification in inverse reinforcement learning

Joar Skalse and Alessandro Abate 04 May 2023

Our work provides a framework for reasoning about the question of misspecification in inverse reinforcement learning.

Back to the future: towards a reasoning and learning architecture for ad hoc teamwork

Hasra Dodampegama 25 Apr 2023

Our architecture formulates ad hoc teamwork as a joint reasoning and learning problem.

#AAAI2023 workshops round-up 3: Reinforcement learning ready for production

AIhub 13 Apr 2023

The organisers of the AAAI2023 workshop on RL for production tell us their key takeaways from their event.

#AAAI2023 workshops round-up 2: health intelligence and privacy-preserving AI

AIhub 21 Mar 2023

The organisers of two of the AAAI2023 workshops tell us their key takeaways from their respective events.

#AAAI2023 invited talk: Isabelle Augenstein on modelling information change in scientific communication

Lucy Smith 14 Mar 2023

Isabelle spoke about using natural language processing to address problems in science communication.

#AAAI2023 workshops round-up 1: AI for credible elections, and responsible human-centric AI

AIhub 01 Mar 2023

The organisers of two of the AAAI2023 workshops tell us their key takeaways from their respective events.

monthly digest

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AAAI

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

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

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

#AAAI2024 in tweets: part two

Congratulations to the #AAAI2024 outstanding paper winners

#AAAI2024 in tweets: part one

Congratulations to the #AAAI2024 award winners

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

Interview with Célian Ringwald: Natural language processing and knowledge graphs

What’s coming up at #AAAI2024?

Interview with Elizabeth Ondula: Applied reinforcement learning

Interview with Fiona Anting Tan: Researching causal relations in text

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

Crowdsourced clustering via active querying

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

Generating physically-consistent local-scale climate change projections

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

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

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

Utilizing generative adversarial networks for stable structure generation in Angry Birds

AIhub coffee corner: Regulation of AI

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

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

Proceedings from #AIES2023 now available

#AIES2023 – panel discussion on large language models

#AIES2023 tweet round-up

Understanding the impact of misspecification in inverse reinforcement learning

Back to the future: towards a reasoning and learning architecture for ad hoc teamwork

#AAAI2023 workshops round-up 3: Reinforcement learning ready for production

#AAAI2023 workshops round-up 2: health intelligence and privacy-preserving AI

#AAAI2023 invited talk: Isabelle Augenstein on modelling information change in scientific communication

#AAAI2023 workshops round-up 1: AI for credible elections, and responsible human-centric AI

AIhub monthly digest: February 2023 – attending AAAI, awards galore, and GPT-3 for 5-minute crafts

#AAAI2023 invited talk: Manuela Veloso on experience-based insights from AI in robotics and AI in finance

#AAAI2023 invited talk: Tuomas Sandholm on organ exchanges

#AAAI2023 tweet round-up: the conference in summary

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AAAI

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

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

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

#AAAI2024 in tweets: part two

Congratulations to the #AAAI2024 outstanding paper winners

#AAAI2024 in tweets: part one

Congratulations to the #AAAI2024 award winners

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

Interview with Célian Ringwald: Natural language processing and knowledge graphs

What’s coming up at #AAAI2024?

Interview with Elizabeth Ondula: Applied reinforcement learning

Interview with Fiona Anting Tan: Researching causal relations in text

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

Crowdsourced clustering via active querying

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

Generating physically-consistent local-scale climate change projections

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

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

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

Utilizing generative adversarial networks for stable structure generation in Angry Birds

AIhub coffee corner: Regulation of AI

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

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

Proceedings from #AIES2023 now available

#AIES2023 – panel discussion on large language models

#AIES2023 tweet round-up

Understanding the impact of misspecification in inverse reinforcement learning

Back to the future: towards a reasoning and learning architecture for ad hoc teamwork

#AAAI2023 workshops round-up 3: Reinforcement learning ready for production

#AAAI2023 workshops round-up 2: health intelligence and privacy-preserving AI

#AAAI2023 invited talk: Isabelle Augenstein on modelling information change in scientific communication

#AAAI2023 workshops round-up 1: AI for credible elections, and responsible human-centric AI

AIhub monthly digest: February 2023 – attending AAAI, awards galore, and GPT-3 for 5-minute crafts

#AAAI2023 invited talk: Manuela Veloso on experience-based insights from AI in robotics and AI in finance

#AAAI2023 invited talk: Tuomas Sandholm on organ exchanges

#AAAI2023 tweet round-up: the conference in summary

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