Kathy Baxter, Research Architect Salesforce: definition of AI & types of intelligence for bots; enculturation & training data; fairness, ethics & research methodologies to build a neutral system – The Human Show Podcast 16






Kathy Baxter has an MS in Engineering Psychology from Georgia Institute of Technology and has been on the “Silicon Valley tour” working for companies such as Google, eBay, Oracle and (now) Salesforce. She is currently a Research Architect at Salesforce where she uses her skills in HCI, ethnography, I/O Psychology, ethics, AI and experimental design to create innovative experiences across Salesforce, with a  particular focus on Service Cloud, process automation, and artificial intelligence. She has presented papers and taught tutorials to the Human Factors and Usability community in the US and Europe since 1997. She also actively volunteers for events to increase the number of girls and women entering the STEAM fields.

In today’s episode we talk to Kathy about chatbots, her work with Einstein ( Salesforce’s AI), ethics and bias. We cover definitions of AI, types of intelligence for bots, and how it compares to humans frames of learning. We cover enculturation, training data for chatbots, and the need for diversity and inclusion. We talk about fairness and ethics and what methodologies can be used to build a neutral system that is based on unbiased data. We also talk about governance, bias, and ethics and what companies can do to start reducing bias and take an ethical approach to product building. Lastly we cover how a social scientist can approach this field.

Kathy Baxter – Linked In

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Mentioned in podcast:

Einstein AI
“How babies learn and how robot’s can’t compete” article
Bias in the COMPAS System

Kathy’s work: 

Coauthor of Understanding Your Users, Second Edition: A Practical Guide to User Research Methods (Interactive Technologies) 2nd Edition

How build ethics into AI:  Part 1 and Part 2
How to meet user expectations for AI

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