Six Sigma Forum Webinar: In Case You Missed It - Are You Attratcted to the Lure of Using AI For You

When:  Aug 9, 2024 from 12:00 PM to 01:00 PM (ET)
Associated with  Six Sigma Forum
Registration Link: https://asq.webex.com/weblink/register/r9ee7ff0b9510362809bc54816ae94af2
Abstract:
In case you missed the incredibly popular and highly rated session from the 2024 Lean Six Sigma conference, here is your chance to experience it!  Join Scott Sterbenz, Master Black Belt at Ford Motor Company and Past Chair of the Six Sigma Forum, in "Are You Attracted to the Lure of Using AI For Your Problem Solving."
The lure of Artificial Intelligence (AI) exisits in many facets of our lives--both personally and professionally. Listen to the news, and AI is often involved in one of the top stories of the day. Just the mention of AI in a business report makes stock prices leap. But really--how good is AI? Does it always give us the correct answer? What about the information we really need to make good decisions? Can we trust the integrity of the data? There are circles of quality professionals that preach about using AI for data analysis and for root cause determination. Should we use it even if we don't understand the physics of the failure mode or the basis behind the analysis method?
This presentation will begin with a brief overview of Artificial Intelligence and how to access one of the more popular engines, ChatGPT. Next, the presentation will showcase situations of simple AI requests where the answer is known, but AI provides incorrect answers--even with prodding--and correct answers without prodding. Finally, the presentation will show examples of data analysis requests in AI again where the proper method and analysis techniques are known, but AI provides both correct and incorrect guidance.
Just because the information comes from a computer or AI source does not mean the information or answer is of integrity. Will AI ever really replace the quality practitioner? Not yet. Fundamental knowledge of physics, engineering and logical thinking are still the foundation of good problem solving and AI hasn't mastered that yet.
Speaker Bio:
Scott Sterbenz is a Master Black Belt at Ford Motor Company, using Six Sigma methods to solve quality and customer satisfaction issues. Scott is also a Technical Adviser for the United States Bowling Congress, bowling's governing body. There, he helps develop test plans and analysis methods to set specifications for bowling equipment and conducting ground-breaking research. A Professional Engineer, Scott holds a bachelor's and master's degree in Mechanical Engineering from Wayne State University in Detroit—valedictorian in both programs. For over twenty years, Scott has taught high school and college level mathematics to middle school students as part of the MathCOUNTS competition series. An avid mountain biker, Scott cycles nationwide for multiple charities. He is also an accomplished bowler, with thirteen certified 300 games and a high certified three-game series of 853.

Location

Online Instructions:
Url: http://my.asq.org
Login: Registration Link: https://asq.webex.com/weblink/register/r9ee7ff0b9510362809bc54816ae94af2