This repository hosts a list of courses, tutorials, newsletters and other resources related to Ethics in AI for my self-learning journey. I came across Ethical AI during my KaggleX BIPOC Mentorship Program and OpenMined's Privacy AI Mentorship Program. I will be taking up different courses on Ethics and post self-notes.

• Books
• Blogs
• Case Studies
• Courses
• Communities
• Guides
• Important Papers
• Institutes
• Libraries, Frameworks and Toolkits
• Newsletters
• Reading Groups
• Tutorials and Talks

1. Practical Data Ethics course by fast.ai.
2. Intro to AI Ethics course on Kaggle Learn. This is a short course with exercises for beginners in the field.
3. Ethics of AI MOOC by University of Helsinki.
4. CS 281 Ethics of AI Course by Stanford University.
5. Ethics of AI Bias course by MIT OCW.
6. AI Ethics: Global Perspectives is a course that consists of different lectures by partners like: TheGovLab, GAIEC, Center for Responsible AI, TUM IEAI, UNESCO and NYU.
7. Bias and Discrimination in AI course offered by University of Montreal and IVADO School on edX.
8. Data Science Ethics course offered by University of Michigan on edX.

1. Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy This paper discusses about the ImageNet dataset and how the bias in dataset was removed by filtering most of the synsets and balancing according to age, gender and color.

1. The Institute of Ethical AI & Machine Learning

1. Ethics and Society Newsletter by Hugging Face. This newsletter discusses the efforts of Hugging Face in the domain of Ethical AI. Hugging Face also has a separate space dedicated to collections, spaces, datasets and models involving ethical AI, here.
2. The AI Ethics Brief newsletter by Montreal AI Ethics Institute, with a section on Computer Vision. The newsletter is a must read for learners and practitioners in the field.
3. The MLE Newsletter from The Institute of Ethical AI & Machine Learning.