Broadcast Date: Thursday, July 23, 2020
from 3:00 pm to 5:00 pm (ET)


The swift and unregulated development of artificial intelligence (AI) is significantly affecting innovation and the intellectual property (IP) landscape. As AI-based products, applications, and techniques continue to emerge in high volume, IP protection and enforcement issues are expected to increase.

Within the intersection of AI and IP is the legal and regulatory repercussions that companies, legal professionals, and governments should proactively tackle.

In this LIVE Webcast, a seasoned panel of thought leaders and professionals brought together by The Knowledge Group will provide the audience with an in-depth analysis of the recent developments surrounding the AI-IP intersection. Speakers will also present the significant issues and hot buttons in light of the legal and regulatory updates.

This LIVE webcast will discuss the following key provisions:

  • Artificial Intelligence (AI) and Intellectual Property (IP) – Recent Developments
  • Implications of AI to IP
  • Significant Issues and Challenges
  • The Future of AI-IP Intersection
  • Outlook


Course Level:



Advance Preparation:

Print and review course materials


Method of Presentation:

On-demand Webcast (CLE)



General knowledge of patent law


Course Code:



NY Category of CLE Credit:

Areas of Professional Practice


Total Credits:

2.0 CLE

Speaker Panel:

Thomas K. Hedemann, Counsel
Axinn, Veltrop & Harkrider LLP

Thomas Hedemann is IP Counsel in Axinn’s Hartford office. He litigates intellectual property matters in district court and before the Patent Trial and Appeals Board across a number of technologies. Thomas is an Adjunct Professor at the University of Connecticut School of Law where he teaches patent litigation.

Annette L. Hurst, Partner

Annette Hurst practices in Orrick’s Intellectual Property Group and leads the firm’s Artificial Intelligence Practice. She is an experienced trial lawyer who has tried patent, copyright, trade secret, trademark and business tort claims. As an experienced IP risk analyst with deep expertise in the software industry, Annette has been a go-to counselor and speaker regarding the legal issues surrounding access and use of datasets in the development of machine learning algorithms. She was named “Litigator of the Week” by The American Lawyer for her work as co-lead counsel on the Mattel/MGA case, and she is consistently recognized as a leading IP lawyer by The Daily JournalChambers & PartnersandThe Legal 500.

Elizabeth A. Corradino, Partner
Moses & Singer LLP

Elizabeth A. Corradino leads the firm’s Media and Technology, Intellectual Property and Entertainment groups. Her diverse practice focuses on assisting a broad range of clients in solving legal and business issues in commercial transactions that include: technology, intellectual property and content licensing; strategic alliances; and the acquisition, sale or other conveyance of intellectual property and technology assets.  Liz practices across a variety of industries, including fintech, ad tech, experiential marketing and entertainment, retail and consumer products.

Agatha H. Liu, Ph.D., Partner
Hickman Palermo Becker Bingham LLP

Dr. Liu focuses her practice on patent analysis, strategic counseling, and portfolio management. She routinely advises inventors, business owners, and investors on developing and protecting inventions and other intellectual property. She has held positions in technology and management consulting in high tech industries and has a research background in artificial intelligence, as applied to computational biology and expert systems. In recent years, Dr. Liu has spent a significant amount of time speaking and writing on the intersection of patent law and artificial intelligence and helping her clients procure patents covering various aspects of machine learning.



Thomas K. HedemannCounsel

Axinn, Veltrop & Harkrider LLP

  • Patentability of AI



Annette L. HurstPartner


  • Liability of companies for infringement by algorithms
  • Whether algorithms can be inventors or authors
  • IP issues in use of datasets to train algorithms
  • Whether owners of IP in datasets have an interest in trained algorithms that were improved using those datasets
  • Whether information that can be reverse engineered by algorithm can retain trade secret protection



Elizabeth A. CorradinoPartner

Moses & Singer LLP

  • Authorship and evolving standards of originality for purposes of copyright ownership, responsibility and volitional acts
  • Impact of AI on the clearance and enforcement of trademarks



Agatha H. Liu, Ph.D.Partner

Hickman Palermo Becker Bingham LLP

  • Evaluate different forms of IP protection for different types of AI techniques including algorithms and data

Date & Time:

Thursday, July 23, 2020

3:00 pm to 5:00 pm (ET)

Who Should Attend:

  • Patent Law Attorneys
  • Intellectual Property Lawyers
  • Patent Licensing Attorneys
  • Patent Owners and Inventors
  • Intellectual Property Practitioners
  • In-house Counsel
  • Top Level Management
  • System Developers
  • Technology Companies


Thomas K. HedemannCounsel
Axinn, Veltrop & Harkrider LLP
Annette L. HurstPartner
Elizabeth A. CorradinoPartner
Moses & Singer LLP
Agatha H. Liu, Ph.D.Partner
Hickman Palermo Becker Bingham LLP



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