AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD)

• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Subjects: Technology: general issues; History of engineering & technology; out-of-distribution generalization; forecasting; temporal bias; permutation equivariance; optimization; face-recognition models; facial attributes; social bias; fairness; natural language processing; gender bias; bias detection; contextualized embeddings; deep learning; contrastive learning; supervised contrastive learning; transfer learning; robustness; noisy labels; coresets
• Online Access: DOAB: download the publication; DOAB: description of the publication

This book is a collection of the accepted papers presented at the Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD) in conjunction with the 36th AAAI Conference on Artificial Intelligence 2022. During AIBSD 2022, the attendees addressed the existing issues of data bias and scarcity in Artificial Intelligence and discussed potential solutions in real-world scenarios. A set of papers presented at AIBSD 2022 is selected for further publication and included in this book.