Ethical Algorithms — Notes from the DISC Unconference

This is the final post in the series on projects developed at the 2017 Diversity and Inclusion in Scientific Computing (DISC) Unconference. 

Read our prior posts in the series:

• Diversity and Metrics in Software Communities
• Diverse & Inclusive Events and Conferences Cookbook
• Starting D&I Conversations at Work
• Getting Started With Open Source
• A Directory to Increase Diversity & Inclusion
• Inclusive Approaches to Recruitment & Outreach
• Communicating Feedback as a Service

 Ethical Algorithms

The 8th project developed at the DISC Unconference focused on generating a collection of materials to assist in the creation of ethical algorithms and machine learning models. The questions the project attempts to address are:

• How can you create ethical machine learning projects?
• Why is ethical data science important?

We invite you to explore resources for answering these questions on our project repo.

Members of the group:

• Paige Bailey (@DynamicWebPaige)
• Abhipsa Behera (@abhipsa92)
• Bernie Boscoe (@bboscoe)
• Bobby Jackson (@rcjackson)
• Mwai Karimi (@kmwai)
• Zairah Mustahsan (@zairah10)
• Disha Umarwani (@dishaumarwani)