Artificial Intelligence and Machine Learning Technologies

$159.00

March 22, 2024:  9:00 am – 3:30 pm

As an attorney, understanding the basics of AI/ML is paramount in our technology-based society to meet these new challenges head on. This seminar will demystify AI/ML and provide the participant with a basic understanding of what methods exist, how they are built, and limitations and concerns of use.

*For non-lawyer discount, see below.

Description

Friday, March 22, 2024

9 am – 3 pm

 

PACLE approved– 5.0 substantive

Ohio CLE approved – 5.0 general

WV CLE approved – 6.0 attendance

 

*For Non-Lawyers: use coupon code “CourseOnly” for $50 off – if you want to attend the course and do not need the CLE credit.

*For Student rate, please email: [email protected] 

 

Artificial intelligence (AI) and machine learning (ML) are often viewed behind a century of science fiction perceptions and fears. Real AI/ML tools, however, are no more than combinations of mathematical methods and data structures implemented using internet technologies on a large scale. Numerous concerns have arisen in the areas of privacy, cybersecurity, property and copyrights, ethics, and regulation, to name a few. As an attorney understanding the basics of AI/ML is paramount in our technology-based society to meet these new challenges head on. This seminar will demystify AI/ML and provide the participant with a basic understanding of what methods exist, how they are built, and limitations and concerns of use.

The world of artificial intelligence impacts nearly every occupation and profession- lawyers being no exception. Lawyers deal with content and conceptual subject matter that is quite prone to the ruse of artificial intelligence.  Examples are myriad, including but not limited to intellectual property, wills, trust and estates, fraud, and forgery as well as other crime- all generated by artificial means.  Questions of evidentiary quality, authentication and original documentation, writings, voice identification are all AI dilemmas.

The course shall be a one-day event held on Franciscan’s beautiful campus and includes continental breakfast & light lunch.

 

Presenter:  Bryce Meyer

Bryce began his career as a USAF officer which included program management and engineering, and assistant professor at Virginia Military Institute, until eventually working in an internet backbone (WilTel which became Level 3 communications), ran his own consulting company for a while, then Senior Member Technical Staff at the Software Engineering Institute at Carnegie Mellon University. He has been teaching at Franciscan part time since 2016.

 


 

Time Breakout:

9:00 to 9:05        Logistics, Conduct of the Course, Introductions

9:05 to 10:35      Basic Concepts and Simple Models

10:35 to 10:50   break

10:50 to 12:00   Optimization using Genetic Algorithms

12:00-12:30        lunch

12:30-1:30          Training ML and Neural Networks

1:30-1:45             break

1:45-3:00             Large Language Models and Generative AI

3:00 to 3:30        Wrap-up, Limitations and Concerns, Q+A

 

 

Check Payment Policy:

If you prefer to pay by check, a $40 deposit or full payment is required to be sent in before a seat is reserved.

Cancellation Fee:

Due to the costs associated with our course offerings, the Center has implemented a 25% cancellation fee. Those costs relate to food and beverages purchased in advance and the fees we need pay to outside presenters.  Cancellation fees will apply to those that do not show up for the course or those who cancel ahead of its offering. The Center appreciates your understanding.

 

*All courses are approved for continuing legal education by state authorizing bodies and are not courses for academic credit.