Hidden Figures: Bias in Big Data and Predictive Analysis
Wednesday, July 14th, 2021
11:30 AM - 12:30 PM: Breakout 1
Big data and artificial intelligence/predictive analysis is increasingly influencing our society and our behavior. One of the challenges with making data-driven decisions in your program is the over-representation of biased data - especially around gender, racial profiles, and ethnic backgrounds. This discussion will focus bias in your data - it's impact, detection, and mitigation strategies. It offers nonprofit leaders a set of recommendations, best practices, as well as supporter-focused techniques -all of which will promote the fair and ethical deployment of data-driven decision making.
Learning Outcome #1
By attending this session participants will learn: What is bias and how does it influence data and analytics.
Learning Outcome #2
By attending this session participants will learn: How to recognize bias in data and analytics.
Learning Outcome #3
By attending this session participants will learn: What are some steps your organization can take in order to ensure you are making unbiased decisions using data.
To enhance the attendee's learning experience, we are looking for a variety of presentation styles. Please indicate your style: A panel of presenters