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

Free and open source code of the https://tournesol.app platform. Meet the community on Discord https://discord.gg/WvcSG55Bf3

List of references about Machine Learning bias and ethics

Courses on Kaggle

An Introduction to Transparent Machine Learning

An Introduction to Transparent Machine Learning

Paper lists about 'Constitutional AI System' or 'AI under Ethical Guidelines'

Reviews of papers related to robot learning, computer vision, audio , NLP and AI Ethics

Replication Code for: On the Mechanics of NFT Valuation: AI Ethics and Social Media

Fairness in data, and machine learning algorithms is critical to building safe and responsible AI systems from the ground up by design. Both technical and business AI stakeholders are in constant pursuit of fairness to ensure they meaningfully address problems like AI bias. While accuracy is one metric for evaluating the accuracy of a machine le…

Here you can find the source code used to create our Worldwide AI Ethics dashboard. 🌐

Stash of some of the most potent research papers, blogs and videos on AI which I liked.

Social and Ethical Issues in Information Technology - material and project

Debiasing methods on contextualised embeddings are ineffective - CS475

This repository provides comprehensive guidelines, frameworks, and sample policies for the ethical and effective integration of AI in progressive organizations. It serves as a platform for discussion and collaboration on AI governance and ethics.

Replication Code for: AI Ethics on Blockchain: Topic Analysis on Twitter Data for Blockchain Security

The findings of this research reveal several intriguing disparities between human and AI text generation. I demonstrated that these differences could be successfully utilized by classifiers to distinguish between human and AI-generated text.

We aim at developing a framework to promote the integration of CDR principles in the legal sector combining the LLI digital ethics code with a practical ethical legal innovation roadmap.

Resources on tech and AI ethics.