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https://github.com/snehilsanyal/ethical-ai-courses
A list of courses on Ethics in AI for self-learning.
https://github.com/snehilsanyal/ethical-ai-courses
ethics-in-ai ethics-resources self-learning
Last synced: 29 days ago
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A list of courses on Ethics in AI for self-learning.
- Host: GitHub
- URL: https://github.com/snehilsanyal/ethical-ai-courses
- Owner: snehilsanyal
- License: mit
- Created: 2024-02-22T05:39:28.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-07-15T16:51:38.000Z (6 months ago)
- Last Synced: 2024-07-15T20:36:59.431Z (6 months ago)
- Topics: ethics-in-ai, ethics-resources, self-learning
- Homepage:
- Size: 5.86 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome_ai_agents - Ethical-Ai-Courses - A list of courses on Ethics in AI for self-learning. (Building / Ethics)
README
# Self Learn AI Ethics and Safety
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.
## Contents
- [Books](#books)
- [Blogs](#blogs)
- [Case Studies](#case-studies)
- [Courses](#courses)
- [Communities](#communities)
- [Guides](#guides)
- [Important Papers](#important-papers)
- [Institutes](#institutes)
- [Libraries, Frameworks and Toolkits](#libraries-frameworks-and-toolkits)
- [Newsletters](#newsletters)
- [Reading Groups](#reading-groups)
- [Tutorials and Talks](#tutorials-and-talks)## Books
## Blogs
## Case Studies
## Courses
1. [**Practical Data Ethics**](https://ethics.fast.ai/) course by [**fast.ai**](https://fast.ai/).
2. [**Intro to AI Ethics**](https://www.kaggle.com/learn/intro-to-ai-ethics) course on [**Kaggle Learn**](https://www.kaggle.com/learn). This is a short course with exercises for beginners in the field.
3. [**AI Safety, Ethics and Society Course**](https://www.aisafetybook.com/virtual-course) course by [**Center for AI Safety (CAIS)**](https://www.safe.ai/). 13 week cohort based course facilitated by AI Safety experts, free to take, ends with capstone project and certification.
4. [**AI Safety Fundamentals Course**](https://aisafetyfundamentals.com/) by [**BlueDot Impact**](https://bluedot.org/). Currently 2 courses are offerred:
- [**AI Alignment Course**](https://aisafetyfundamentals.com/alignment/)
- [**AI Governance Course**](https://aisafetyfundamentals.com/governance/)
5. [**ML Safety Course**](https://course.mlsafety.org/) by [**Center for AI Safety (CAIS)**](https://www.safe.ai/), last cohort was during Spring 2023. Waiting for the next one 😄
6. [**Ethics of AI**](https://ethics-of-ai.mooc.fi/) MOOC by University of Helsinki.
7. [**CS 281**](https://stanfordaiethics.github.io/) Ethics of AI Course by Stanford University.
8. [**Ethics of AI Bias**](https://ocw.mit.edu/courses/res-10-002-ethics-of-ai-bias-spring-2023/) course by MIT OCW.
9. [**AI Ethics: Global Perspectives**](https://aiethicscourse.org/) is a course that consists of different lectures by partners like: TheGovLab, GAIEC, Center for Responsible AI, TUM IEAI, UNESCO and NYU.
10. [**Bias and Discrimination in AI**](https://www.edx.org/learn/artificial-intelligence/universite-de-montreal-bias-and-discrimination-in-ai) course offered by University of Montreal and IVADO School on edX.
11. [**Data Science Ethics**](https://www.edx.org/learn/business-ethics/the-university-of-michigan-data-science-ethics) course offered by University of Michigan on edX.
12. [**ARENA AI Alignment Research Engineer Accelerator**](https://www.arena.education/)
13. [**Community AI Program on AI Safety and Alignment**](https://sites.google.com/cohere.com/c4ai-community/community-programs/ai-safety-and-alignment), run by Cohere BIRDS X AI Alignment Group, loosely takes inspiration from the ARENA program. Started 12th July 2024.## Communities
## Guides
## Important Papers
1. [**Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy**](https://dl.acm.org/doi/abs/10.1145/3351095.3375709)
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.## Institutes
1. [**The Institute of Ethical AI & Machine Learning**](https://ethical.institute/)## Libraries, Frameworks and Toolkits
## Newsletters
1. [**Ethics and Society Newsletter**](https://huggingface.co/blog?tag=ethics) 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](https://huggingface.co/society-ethics).
2. [**The AI Ethics Brief**](https://brief.montrealethics.ai/) newsletter by Montreal AI Ethics Institute, with a section on [Computer Vision](https://montrealethics.ai/category/columns/the-ethics-of-computer-vision/). The newsletter is a must read for learners and practitioners in the field.
3. [**The MLE Newsletter**](https://ethical.institute/mle.html) from The Institute of Ethical AI & Machine Learning.## Reading Groups
## Tutorials and Talks