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Found 3 papers, 1 papers with code
Bias Mitigation via Compensation: A Reinforcement Learning Perspective
Group dynamics might require that one agent (e. g., the AI system) compensate for biases and errors in another agent (e. g., the human), but this compensation should be carefully developed.
Application of the NIST AI Risk Management Framework to Surveillance Technology
This study offers an in-depth analysis of the application and implications of the National Institute of Standards and Technology's AI Risk Management Framework (NIST AI RMF) within the domain of surveillance technologies, particularly facial recognition technology.
TRANSFER :- DEEP INDUCTIVE NETWORK FOR FACIAL EMOTION RECOGNITION
Deep learning using transfer learning has shown promising results in computer vision in solving the problem of lack of labeled data.
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