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AAAI2024
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.
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.
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.
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.
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.
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.
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 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.
#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.
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.
