AI Panel Discussion: Artificial Intelligence, Machine Learning, and Diversity

In April 2019, I served as moderator for a panel discussion on Artificial Intelligence. The 90-minute conversation covered a wide range of topics: beginning with an introduction of key ideas and terms associated with Artificial Intelligence and Machine Learning. This was followed by a discussion of challenges in AI: including model (or solution) bias and team diversity. The evening wrapped up with a discussion of various ways people can begin to get involved with artificial intelligence and machine learning.

Panelists (seated left to right):

William Ford, PhD, Analytics/AI/ML Consultant
Emmanuel Matthews, Google
Ayori “Selfpreneur” Sellasie, Salesforce
Keita Broadwater, PhD, Oxygen-AI

Moderator: Steven B. Bryant

The video is broken into four parts:

  1. Introduction to Artificial Intelligence (AI) and Machine Learning (ML)
  2. Introduction to AI/ML continued, machine learning job roles, and solution bias
  3. Solution Bias continued, Diversity, How To Get Involved in AL and ML, and Q&A
  4. Q&A continued

I hope that you find the discussion informative, thought-provoking and motivating.

Part 1 – AI Panel Discussion: Introduction to Artificial Intelligence and Machine Learning (Deb Watson, NBMBAA SF Chapter President, gives a nice moderator introduction, but the discussion doesn’t begin until the 5:30 mark if you want to skip ahead.)

Part 2 – AI Panel Discussion: Introduction to AI/ML continued, machine learning job roles, and solution bias

Part 3 – AI Panel Discussion: Solution Bias continued, Diversity, How To Get Involved in AI and ML, and Q&A

Part 4 – AI Panel Discussion: Q&A continued

I want to thank the San Francisco chapter of the National Black MBA Association for sponsoring the event and Wells Fargo for providing the space for the meeting.

––––

Steve_aes-114

Steven B. Bryant is a researcher and author who investigates the innovative application and strategic implications of science and technology on society and business. He holds a Master of Science in Computer Science from the Georgia Institute of Technology where he specialized in machine learning and interactive intelligence. He also holds an MBA from the University of San Diego. Steven is the author of DISRUPTIVE: Rewriting the rules of physics, which is a thought–provoking book that shows where relativity fails and introduces Modern Mechanics, a unified model of motion that fundamentally changes how we view modern physics. DISRUPTIVE is available at Amazon.com, BarnesAndNoble.com, and other booksellers!