Description
Total Credits: 1.0 Professional Practice
This program will provide an overview—in plain English—of what “AI” is, along with a description of the different types of machine learning and how they work. They will discuss the potential benefits and challenges of AI, both in general and in the practice of law, and will discuss what makes AI so revolutionary for lawyers. They will seek to separate fact from fiction and to offer a realistic view of the kinds of transformation you can expect to see in the legal industry in the next few years.
Program Faculty
Moderator:
Alison Arden Besunder, Esq., Principal, Arden Besunder
Panelists:
Maura R. Grossman, Esq., Research Professor, School of Computer Science, University of Waterloo and Principal, Maura Grossman Law
Kathryn Hume, Vice President, Product & Strategy, integrate.ai and Venture Partner, ffVC
Committee on Technology and the Legal Profession Chair
Mark A.Berman, Esq., Ganfer & Shore LLP
Materials
Slides |
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| PowerPoint | Available after Purchase | ||
| PowerPoint | Available after Purchase | ||
Materials |
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| K. Hume - The Temporality of Artificial Intelligence – Quam Proxime As near as may be | Available after Purchase | ||
| K. Hume - How to Spot a Machine Learning Opportunity, Even If You Aren’t a Data Scientist | Available after Purchase | ||
| K. Hume - Ethical Algorithims - Bias and Explainability in Machine Learning Systems | Available after Purchase | ||
| Faculty Bios | Available after Purchase | ||
| K. Hume - The Temporality of Artificial Intelligence – Quam Proxime As near as may be | Available after Purchase | ||
| K. Hume - How to Spot a Machine Learning Opportunity, Even If You Aren’t a Data Scientist | Available after Purchase | ||
| K. Hume - Ethical Algorithims - Bias and Explainability in Machine Learning Systems | Available after Purchase | ||
| Faculty Bios | Available after Purchase | ||