Bias and Fairness in Multimodal Machine Learning: A Case Study of Automated Video Interviews.
Brandon M. BoothLouis HickmanShree Krishna SubburajLouis TaySang Eun WooSidney K. D'MelloPublished in: ICMI (2021)
Keyphrases
- machine learning
- case study
- multimedia
- video sequences
- video data
- information extraction
- video streams
- story segmentation
- video content
- video frames
- semi automated
- temporal information
- pattern recognition
- computer vision
- video database
- machine learning algorithms
- space time
- machine learning methods
- real time
- spatial and temporal
- inductive logic programming
- active learning
- artificial intelligence
- online video
- video search
- explanation based learning
- fully automated
- video retrieval
- learning tasks
- knowledge acquisition
- text mining
- multimodal information
- knowledge representation
- inductive bias
- multiple modalities
- natural language processing
- multimodal interaction
- broadcast news
- grounded theory
- qualitative analysis
- computational intelligence
- digital video
- multi modal
- video analysis
- moving objects
- resource allocation
- decision trees
- feature selection