https://github.com/amirhosseinhonardoust/algorithmic-empath-human-fallibility

A deep exploration of Algorithmic Empathy, the next frontier in AI understanding. This project examines how machines can learn from human fallibility, model disagreement, and align with moral reasoning. It blends psychology, fairness metrics, interpretability, and co-learning design into one framework for humane intelligence.

ai algorithmic-bias co-learning cognitive-science data-science empathy ethics fairness human-centered-ai intelligence interpretability machine-learning neural-networks neurosymbolic philosophy psychology reflective-ai research responsible-ai xai

Last synced: 28 Feb 2026