🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
-
Updated
Jul 29, 2024 - Jupyter Notebook
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
🐢 Open-Source Evaluation & Testing for LLMs and ML models
Fair Statistical Learning Algorithms for Ethical Artificial Intelligence
A collection of resources and tools designed to provide guidelines for ethical modeling.
A collection of awesome software, libraries, learning tutorials, documents, books & technical resources and cool stuff about dark web.
This is the OFFICIAL CybernetiX S3C website.
Micro AI for multiple LLM switching, preparing datasets, training models, and deploying them in isolated environments using Docker
Credo AI Lens is a comprehensive assessment framework for AI systems. Lens standardizes model and data assessment, and acts as a central gateway to assessments created in the open source community.
Alpha principles for the ethical use of AI and Data Driven Technologies in Ontario | Proposition de principes pour une utilisation éthique des technologies axées sur les données en Ontario
Paper list and relevant material for Privacy-Preserving Computation.
Source code and models for the paper "Cyberbullying Detection with Fairness Constraints". IEEE Internet Computing, 2020
Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency
Etica.AI is concerned about long-term social & ethical implications of artificial intelligence on Africa/Latin America. Do it via grassroots acts in short-term
This repository has details regarding books read and to be read by the AICN Ethics Bookclub
[AAAI 2018] Implementation of the Ethics Shaping approach proposed in "A low-cost ethics shaping approach for designing reinforcement learning agents"
The Open Ethics Canvas is a tool for developers, product owners, and ethics professionals. It could be used as a conversation starter in the process of building transparent and explainable technology products.
Ethical questions, risks and issues to think about to help create responsible AI products and services
Model check systems for obligations
Minimize the risks and maximize the benefits of using data-driven technologies within government processes, programs and services through transparency. | Réduire les risques et à maximiser les avantages liés à l’utilisation de technologies axées sur les données, dans le cadre de processus, programmes et services gouvernementaux, grâce à la trans…
Evaluation & testing framework for computer vision models
Add a description, image, and links to the ethical-artificial-intelligence topic page so that developers can more easily learn about it.
To associate your repository with the ethical-artificial-intelligence topic, visit your repo's landing page and select "manage topics."