What’s coming up at #AAAI2022?

The 36th AAAI Conference on Artificial Intelligence (AAAI2022) starts on Tuesday 22 February and runs until Tuesday 1 March. Find out about some of the main events that are taking place throughout the virtual conference.

Invited speakers

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

• Cynthia Rudin – Interpretable machine learning: bringing data science out of the “Dark Age”
• Andrew Ng – The data-centric AI
• Marta Kwiatkowska – Safety and robustness for deep learning with provable guarantees
• Michael Littman – Gathering strength, gathering storms: the one hundred year study on artificial intelligence (AI100) 2021 study panel report
• Francesca Rossi – Thinking fast and slow in AI
• Patrick Schnable – Advancing agricultural genome to phenome research
• David Touretzky, Christina Gardner-McCune, Fred Martin, and Deborah Seehorn – You know AI has arrived when we’re teaching it in elementary school

Diversity and inclusion program

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

• 3rd AAAI Workshop on artificial intelligence – diversity, belonging, equity, and inclusion
• AI podcast series to educate the public on AI and show off undiscovered talent
• Increasing diversity and bridging gender divide in artificial intelligence: a roundtable and networking activity
• International workshop on social impact of AI for Africa
• LatinX in AI (LXAI) social
• Mid-career diversity tea and cake (MIDCAR)
• Queer in AI

Workshops

There are 39 different workshops and these will take place on 28 February and 1 March. Click on the workshop titles below to find out more information.

• W1: Adversarial machine learning and beyond
• W2: AI for agriculture and food systems (AIAFS)
• W3: AI for behavior change
• W4: AI for decision optimization
• W5: AI for transportation
• W6: AI in financial services: adaptiveness, resilience & governance
• W7: AI to accelerate science and engineering (AI2ASE)
• W8: AI-based design and manufacturing (ADAM)
• W9: Artificial intelligence for cyber security (AICS)
• W10: Artificial intelligence for education (AI4EDU)
• W11: Artificial intelligence safety (SafeAI 2022)(1.5-Day)
• W12: Artificial intelligence with biased or scarce data
• W13: Combining learning and reasoning: programming languages, formalisms, and representations (CLeaR)
• W14: Deep learning on graphs: methods and applications (DLG-AAAI’22)
• W15: DE-FACTIFY :multi-modal fake news and hate-speech detection
• W16: Dialog system technology challenge (DSTC10) (two-day)
• W17: Engineering dependable and secure machine learning systems (EDSMLS 2022) (half-day)
• W18: Explainable agency in artificial intelligence (two-day)
• W19: Graphs and more complex structures for learning and reasoning (GCLR)
• W20: Health intelligence (W3PHIAI-22)
• W21: Human-centric self-supervised learning (HC-SSL)
• W22: Information-theoretic methods for causal inference and discovery (ITCI’22)
• W23: Information theory for deep learning (IT4DL)
• W24: Interactive machine learning
• W25: Knowledge discovery from unstructured data in financial services (half-day)
• W26: Learning network architecture during training
• W27: Machine learning for operations research (ML4OR) (half-day)
• W28: Optimal transport and structured data modeling (OTSDM)
• W29: Practical deep learning in the wild (PracticalDL2022)
• W30: Privacy-preserving artificial intelligence
• W31: Reinforcement learning for education: opportunities and challenges
• W32: Reinforcement learning in games (RLG)
• W33: Robust artificial intelligence system assurance (RAISA) (Half-Day)
• W34: Scientific document understanding (SDU) (half-day)
• W35: Self-supervised learning for audio and speech processing
• W36: Trustable, verifiable and auditable federated learning
• W37: Trustworthy AI for healthcare
• W38: Trustworthy autonomous systems engineering (TRASE-22)
• W39: Video transcript understanding (half-day)

Tutorial forum

The tutorial forum will take place on 23 February. The events planned are as follows:

• Hate Speech: detection, mitigation and beyond
• Explanations in interactive machine learning
• Formal verification of deep neural networks: theory and practice
• Time series in healthcare: challenges and solutions
• Recent advances in multi-agent path finding
• Automated synthesis: towards the holy grail of AI
• Bayesian optimization: from foundations to advanced topics
• Subset selection in machine Learning: theory, applications, and hands on
• AI planning: theory and practice
• Neuro-symbolic methods for language and vision
• Deep learning on graphs for natural language processing
• Causal inference from relational data
• Ethics in sociotechnical systems
• Reasoning on knowledge graphs: symbolic or neural?
• Adversarial machine learning for good
• Automated learning from graph-structured data
• On Explainable AI: from theory to motivation, industrial applications, XAI coding & engineering practices
• Fairness in clustering
• Pre-trained language representations for text mining
• Automated negotiation: challenges, approaches, & tools
• Gromov-Wasserstein learning for structured data modeling
• New trends in mechanism design for considering participants’ interactions

Find out more information about the tutorial forum here.

Other events and useful links

The 34th annual conference on innovative applications of artificial intelligence
(IAAI-22) will take place from 24-26 February. View the program here.

The 12th symposium on educational advances in artificial intelligence (EAAI-22) with take place on 26-27 February. View the program here.

A pdf of the AAAI-22 accepted papers can be found here.

Lucy Smith , Managing Editor for AIhub.

Lucy Smith , Managing Editor for AIhub.