AAAI-22 Workshops
- 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)
AAAI-22 Workshop Schedule
Monday, February 28, 2022
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)
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)
W18: Explainable Agency in Artificial Intelligence
W19: Graphs and More Complex Structures for Learning and Reasoning (GCLR)
W20: Health Intelligence (W3PHIAI-22)
W23: Information Theory for Deep Learning (IT4DL)
W24: Interactive Machine Learning
W26: Learning Network Architecture during Training
W28: Optimal Transport and Structured Data Modeling (OTSDM)
W29: Practical Deep Learning in the Wild (PracticalDL2022)
W30: Privacy-Preserving Artificial Intelligence
W32: Reinforcement Learning in Games (RLG)
W33: Robust Artificial Intelligence System Assurance (RAISA) (Half-Day)
W35: Self-Supervised Learning for Audio and Speech Processing
W38: Trustworthy Autonomous Systems Engineering (TRASE-22)
W39: Video Transcript Understanding (Half-Day)
Tuesday, March 1, 2022
W8: AI-Based Design and Manufacturing (ADAM)
W9: Artificial Intelligence for Cyber Security (AICS)
W16: Dialog System Technology Challenge (DSTC10)
W18: Explainable Agency in Artificial Intelligence
W17: Engineering Dependable and Secure Machine Learning Systems (EDSMLS 2022) (Half-Day)
W21: Human-Centric Self-Supervised Learning (HC-SSL)
W22: Information-Theoretic Methods for Causal Inference and Discovery (ITCI’22)
W25: Knowledge Discovery from Unstructured Data in Financial Services (Half-Day)
W27: Machine Learning for Operations Research (ML4OR) (Half-Day)
W31: Reinforcement Learning for Education: Opportunities and Challenges
W34: Scientific Document Understanding (SDU) (Half-Day)
W36: Trustable, Verifiable and Auditable Federated Learning
W37: Trustworthy AI for Healthcare
AAAI Workshop Cochairs
Gita Sukthankar (University of Central Florida, USA)
Hang Su (Tsinghua University, China)
aaai22ws@aaai.org