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AAAI
Understanding artists’ perspectives on generative AI art and transparency, ownership, and fairness
In a recent study, opinions were gathered from over 450 artists.
monthly digest
2024 digest of digests
Lucy Smith
02 Jan 2025
We look back through the archives of our monthly digest to pick out some highlights from the year.
monthly digest
AIhub monthly digest: December 2024 – attending NeurIPS, multi-agent path finding, and tackling illegal mining
Lucy Smith
31 Dec 2024
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
2024 AAAI / ACM SIGAI Doctoral Consortium interviews compilation
Lucy Smith
20 Dec 2024
We collate our interviews with the 2024 cohort of doctoral consortium participants.
monthly digest
AIhub monthly digest: October 2024 – Nobel Prizes, the AI Song Contest, and towards safe and reliable AI agents
Lucy Smith
29 Oct 2024
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Congratulations to the winners of the #AIES2024 best paper awards
AIhub
28 Oct 2024
Find out who won the best paper award and the best student paper award.
Interview with Pulkit Verma: Towards safe and reliable behavior of AI agents
Lucy Smith
24 Oct 2024
We hear from AAAI/SIGAI doctoral consortium participant Pulkit Verma.
#AIES2024 conference schedule
Lucy Smith
19 Oct 2024
Find out what's on the programme at the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society.
coffee corner
AIhub coffee corner: Is it the end of GenAI hype?
AIhub
08 Oct 2024
The AIhub coffee corner captures the musings of AI experts over a short conversation.
Proportional aggregation of preferences for sequential decision making
Nikhil Chandak and Shashwat Goel
27 Aug 2024
Read about work that won an outstanding paper award at AAAI 2024.
coffee corner
AIhub coffee corner: how do you solve a problem like conference reviewing?
AIhub
22 Aug 2024
The AIhub coffee corner captures the musings of AI experts over a short conversation.
Interview with AAAI Fellow Anima Anandkumar: Neural Operators for science and engineering problems
Lucy Smith
20 Aug 2024
Anima tells us about her work on Neural Operators and their application in different scientific domains.
monthly digest
AIhub monthly digest: July 2024 – attending RoboCup, real-world simulators, and AI and cognitive science
Lucy Smith
30 Jul 2024
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Interview with Yuan Yang: working at the intersection of AI and cognitive science
Lucy Smith
02 Jul 2024
We hear from AAAI/SIGAI doctoral consortium participant Yuan Yang.
Learning programs with numerical reasoning
Céline Hocquette
13 Jun 2024
Introducing a novel approach to efficiently learning programs with numerical values
Tweet round-up from #ICWSM24
AIhub
10 Jun 2024
Find out what participants got up to at the International Conference on Web and Social Media
Interview with AAAI Fellow Mausam: talking information extraction, mentorship, and creativity
Lucy Smith
06 Jun 2024
We spoke to Professor Mausam about his research, career path, and being selected as a 2024 AAAI Fellow.
Interview with Sukanya Mandal: Developing a cognitive digital twin framework for smart cities
Lucy Smith
09 May 2024
We meet AAAI/SIGAI doctoral consortium participant Sukanya and find out about her PhD studies.
coffee corner
AIhub coffee corner: Responsible and trustworthy AI
AIhub
07 May 2024
The AIhub coffee corner captures the musings of AI experts over a short conversation.
Interview with Salena Torres Ashton: causality and natural language
Lucy Smith
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
AIhub
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
Lucy Smith
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
Lucy Smith
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
AIhub
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
Lucy Smith
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
Kiran Tomlinson
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
Andrea Rafai
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
Lucy Smith
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
Lucy Smith
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
AIhub
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
Lucy Smith
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?
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.
