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Overview:

As Artificial Intelligence (AI) continuously gain popularity among firms and businesses, the number of legal risks and threats surrounding this industry significantly increases. AI stands out as a transformational technology in today’s digital generation. Businesses are increasingly looking for ways to put AI technologies to work to increase their productivity, profitability and business results. However, while there are many listed AI benefits, there are also certain roadblocks and disadvantages to keep in mind.

Gaining knowledge of the legal risks, methods to ensure compliance, and best practices in managing transactions involving AI-based systems mitigates an organization’s legal risks, claims, and sanctions.

In this LIVE Webcast, a panel of thought leaders and professionals brought together by The Knowledge Group will provide the audience with an in-depth discussion of artificial intelligence’s applicable laws and regulation, recent developments, and issues. Speakers will also present risk mitigation techniques and outlooks on what to expect in this evolving legal climate.

Key topics include:

  • Artificial Intelligence – Regulatory Updates
  • Understanding AI Patents
  • AI and Product Liability
  • Legal Risks and Challenges Using AI
  • Best Compliance Practices
  • What to Expect in 2020

Credit:

Course Level: Intermediate

Advance Preparation: Print and review course materials

Method of Presentation: On-demand Webcast (CLE)

Prerequisite: NONE

Course Code: 148498

NY Category of CLE Credit: Areas of Professional Practice

Total Credits: 2.0 CLE

Speaker Panel:

David Ben-Meir , Partner
Norton Rose Fulbright US LLP

David’s practice focuses on intellectual property disputes, including helping clients in cases of patent, trademark and copyright infringement, trade secrets misappropriation, and IP licensing. David also counsels clients in matters of IP licensing, patent prosecution, and due diligence. His cases routinely involve complex technologies such as artificial intelligence, robotics, communications, software, electronics, semiconductors and optics. David has litigated in key federal and state jurisdictions across the country, including the ITC and the PTAB.

Before practicing law, David spent over seven years designing next-generation artificial intelligence systems for commercial and military applications. David’s masters’ thesis entitled Feed Forward Artificial Neural Networks, concerned evaluating performance of basic neural network architectures, complementing his engineering work.

Nexus U. Sea , Of Counsel
Orrick Herrington & Sutcliffe LLP

Nexus Sea is a litigator and trial lawyer who has played key roles in high-profile matters on behalf of Fortune 500 companies, financial institutions, and pharmaceutical companies in complex commercial litigation, financial services, and product liability matters in state and federal courts. One emerging area of law that Nexus focuses his practice on is the intersection of Artificial Intelligence and product liability law.

Paul Kravetz , Partner
Staas & Halsey LLP

Paul Kravetz specializes in preparing and prosecuting patent applications in many areas of electrical, computer and software engineering, including fiber optics, optical communication systems, wireless communication systems, computer hardware and computer software-related inventions, and analog and digital circuitry.  Paul has extensive experience handling issues that arise under 35 U.S.C. § 101 with respect to software, business methods and abstract ideas.  Paul works with U.S. and foreign clients, and regularly travels overseas to give presentations with respect to claim drafting, patent prosecution and other topics regarding U.S. patent law.

Agenda:

SEGMENT 1: Paul Kravetz, Partner Staas & Halsey LLP

  • Introduction into AI, deep learning, neural networks, etc.
  • Why is AI such a hot topic?
  • Challenges with drafting patents and should these be listed as trade secrets
  • Changes to laws and inter-parties reviews
  • Patentable subject matter issues

SEGMENT 2: David Ben-Meir, Partner Norton Rose Fulbright US LLP

  • Protecting AI via:
    • Copyright
      • Requirements and scope of protection
        • Issues with protecting AI elements in software
        • Issues with protecting AI elements in data
      • Authorships issues regarding AI generated content
      • Intersection with trade secrets
    • Trade secrets
      • Requirements and scope of protection
      • Advantages and disadvantages of trade secrets protection compared to patents
      • Suitability of Trade secrets protection for AI
      • Tension between protecting AI via trade secrets and transparency / fairness

SEGMENT 3: Nexus U. Sea, Of Counsel Orrick Herrington & Sutcliffe LLP

  • Tort law and how to analyze faults in tort when dealing with AI
  • Dealing with AI foreseeability
  • Review of recent cases including Chevrolet Bolt and Tesla cases.  Is AI a separate entity?
  • Review of the 6 levels of automation and how to mitigate legal risk

Date & Time:

Friday, July 10, 2020

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

Materials:

Download Course Materials

Who Should Attend:

  • Technology, Patent, and Product Liability Lawyers
  • Patent Managers
  • Chief Compliance Officers
  • Corporate Counsel
  • Chief Technology Officers
  • VP/Directors of IT
  • Top Level Executives

SPEAKERS

David Ben-Meir Partner
Norton Rose Fulbright US LLP
Nexus U. Sea Of Counsel
Orrick Herrington & Sutcliffe LLP
Paul Kravetz Partner
Staas & Halsey LLP

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