What’s coming up at #AAAI2023?

by Lucy Smith

03 February 2023

Presidential address

Francesca Rossi will deliver her presidential address on Thursday morning (9 February), following the official opening of the conference.

Invited speakers

AAAI have announced the following distinguished invited speakers at this year’s conference.

Sebastian Bubeck – Physics of AI — some first steps
Josh Tenenbaum – Learning to see the human way
Susan Murphy – We used reinforcement learning; but did it work?
Sami Haddadin – Robots with a sense of touch: self-replicating the machine and learning the self
Sheila McIlraith – (Formal) languages help AI agents learn and reason
Isabelle Augenstein – Beyond fact checking — modelling information change in scientific communication
Vincent Conitzer – New design decisions for modern AI agents
Anima Anandkuma – AI accelerating science: neural operators for learning on function spaces
Ayanna Howard – Socially interactive robots for supporting early interventions for children with special needs
Manuela Veloso – AI in robotics & AI in finance

Diversity and inclusion events

The diversity and inclusion events take place throughout the conference. Click on the links below to find out more details about each event.

Workshops

There are 32 different workshops and these will take place on 13 and 14 February. Click on the workshop titles below to find out more information.

Tutorial and lab forum

The tutorial and lab forum will take place on 7 and 8 February. The events comprise half-day or quarter-day sessions. The topics covered are listed below, and you can find out more here. Note: the AIhub tutorial on science communication for AI researchers will take place as part of the tutorial programme. You can find out more here.

Cooperative Multi-Agent Learning: A Review of Progress and Challenges
Introducing Neuronal Diversity into Deep Learning
Hands-On with the BLACK Satisfiability Checker
KGTK: User-Friendly Toolkit for Manipulation of Large Knowledge Graphs
Trustworthy and Responsible AI: Fairness, Interpretability, Transparency and Their Interactions
The Polynomial Nets in Deep Learning Architecture
Machine Learning for Causal Inference
AI Fairness through Robustness
Advances in Neuro Symbolic Reasoning
Specification-Guided Reinforcement Learning
Time Series Anomaly Detection Tool: Hands-on Lab
Pervasive AI
Bi-level Optimization in Machine Learning: Foundations and Applications
Risk-Sensitive Reinforcement Learning via Policy Gradient Search
On Explainable AI: From Theory to Motivation, Industrial Applications, XAI Coding & Engineering Practices
Everything You Need to Know about Transformers: Architectures, Optimization, Applications, and Interpretation
Large-Scale Deep Learning Optimization Techniques
Inductive Logic Programming: An Introduction and Recent Advances
Generalizable Commonsense Reasoning
Graph Neural Networks: Foundation, Frontiers and Applications
The Economics of Data and Machine Learning
Never-Ending Learning, Lifelong Learning and Continual Learning: Systems, Models, Current Challenges and Applications
Science communication for AI researchers
Subset Selection in Machine Learning: Hands-On Application with CORDS, DISTIL, SUBMODLIB, and TRUST
Automated AI For Decision Optimization with Reinforcement Learning
Colossal-AI: Scaling AI Models in Big Model Era
Building Approachable, Hands-On Embedded Machine Learning Curriculum Using Edge Impulse and Arduino
OpenMMLab: A Foundational Platform for Computer Vision Research and Production
Data Compression with Machine Learning
Towards Causal Foundations of Safe AI
Hyperbolic Neural Networks: Theory, Architectures and Applications
AI for Data-Centric Epidemic Forecasting
Recent Advances in Bayesian Optimization
Teaching Computing and Technology Ethics: Engaging Through Science Fiction
Knowledge-Driven Vision-Language Pretraining
Optimization with Constraint Learning
Automated Machine Learning & Tuning with FLAML
Innovative Uses of Synthetic Data

Bridge programme

The bridge programme brings together different communities to explore new opportunities and perspectives. The events will take place on 7 and 8 February, and are as follows: