Popular GitHub Repositories for Epistemic Ethics

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A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

Deliver safe & effective language models

An Ethical Trajectory Planning Algorithm for Autonomous Vehicles

A library that implements fairness-aware machine learning algorithms

Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python

Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems ???

A curated list of awesome academic research, books, code of ethics, data sets, institutes, maturity models, newsletters, principles, podcasts, reports, tools, regulations and standards related to Responsible, Trustworthy, and Human-Centered AI.

a comprehensive statistical framework for detecting circular reasoning bias in AI algorithm evaluation

This AI fact-checking system, built with LangGraph, dissects text into verifiable claims, cross-referencing them with real-world evidence via web searches. It then generates detailed accuracy reports, ideal for combating misinformation in LLM outputs, news, or any text.

Code to Blur Human Faces and Vehicle License Plates in Video and Images using a SoTA Object Detection model YOLOv8

List of references about Machine Learning bias and ethics

HacxGPT — a highly experimental language model derived from WormGPT’s core architecture. Created to investigate the nature of unrestricted reasoning, synthetic cognition, and the ethics of machine autonomy.

This AI fact-checking system, built with LangGraph, dissects text into verifiable claims, cross-referencing them with real-world evidence via web searches. It then generates detailed accuracy reports, ideal for combating misinformation in LLM outputs, news, or any text.

Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"

This AI fact-checking system, built with LangGraph, dissects text into verifiable claims, cross-referencing them with real-world evidence via web searches. It then generates detailed accuracy reports, ideal for combating misinformation in LLM outputs, news, or any text.

A curated list of seminal and influential research papers in artificial intelligence, covering key topics in machine learning, deep learning, NLP, computer vision, reinforcement learning, and AI ethics.

Code for the paper "DQN-based ethical decision-making for self-driving cars in unavoidable crashes: An applied ethical knob."

Testing Theory of Mind (ToM) in language models with epistemic logic