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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.

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Steven B. Bryant is a futurist, researcher, and author who investigates the innovative application and strategic implications of science and technology on society and business. He is also a computer science graduate student at the Georgia Institute of Technology where he is specializing in machine learning and interactive intelligence. 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!