Google offers a guide to help nonprofits and social enterprises lean how to apply artificial intelligence and machine learning to social, humanitarian and environmental challenges. This site helps organizations understand the types of problems that can be solved with machine learning, learn how to identify and prepare data sources and review guidelines on how to develop and utilize machine learning responsibility. To learn more by visiting this website, either click on the image or this link: https://ai.google/education/social-good-guide/
The guides includes:
- Introduction to AI and machine learning
- Examples of what AI and ML can do
- Introduction to machine learning problem framing
- Data sources
- Using AI responsibly
- Accessing the right skill set
- Getting started with machine learning.
Content Editors rate, curate and regularly update what we believe are the top 11% of all AI resource and good practice examples and is why our content is rated from 90% to 100%. Content rated less than 90% is excluded from this site. All inclusions are vetted by experienced professionals with graduate level data science degrees.
In the broadest sense, any inclusion of content on this site is not an endorsement or recommendation of any service, product or content that may be discussed, recommended, endorsed or affiliated with the content, company or spokesperson. We are a 501(c)3 nonprofit and receive no website advertising monies or direct or indirect compensation for any content or other information on any of our websites. For more information, visit our TOS.