The Technology of AI and How It’s Regulated by IP, and Data Privacy Laws

Jean Paul Nagashima
Jean Paul Nagashima | Frost Brown Todd LLC

Yugo’s practice focuses on intellectual property infringement litigation in the high tech and manufacturing technology industry.

Live Video-Broadcast: May 31, 2024
The Technology of AI and How It’s Regulated by IP, and Data Privacy Laws

$245.00 3 hour CLE

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Program Summary

In this CLE, we will provide a primer on artificial intelligence in terms of its technology, the current laws regulating it, and the practical considerations in using AI in businesses and transactions. AI overlays on many different types of laws and regulations due to its impact on society and technology. In this seminar, we will focus on intellectual property and data privacy laws regulating artificial intelligence. After unveiling the issues, the CLE will provide practical considerations to address technical and regulatory issues businesses may face using AI in 2024.

Key topics to be discussed:

  • A primer on Artificial Intelligence and its challenges when used in business
  • The impact of intellectual property law, especially copyright and patent law, on the use of Artificial Intelligence
  • The development of data privacy regulations concerning automated decision-making and its impact on Artificial Intelligence
  • Practical consideration on the use of AI in business and transactions

Date / Time: May 31, 2024

  • 1:00 pm – 4:20 pm Eastern
  • 12:00 pm – 3:20 pm Central
  • 11:00 am – 2:20 pm Mountain
  • 10:00 am – 1:20 pm Pacific

Closed-captioning available

Speakers

Jean-Paul-Yugo-Nagashima_Frost-Brown-Todd-LLC_myLawCLEJean Paul Nagashima | Frost Brown Todd LLC

Yugo’s practice focuses on intellectual property infringement litigation in the high tech and manufacturing technology industry. He works with American and Asian companies in the IP arena. He has litigated before the U.S. International Trade Commission and Federal District Courts. He is also experienced with assisting and advising Japanese companies and foreign owned subsidiaries in the U.S. with various legal needs.

Yugo is also a member of Frost Brown Todd’s Data Services team focusing primarily on international and domestic data privacy issues involving international data transfers, GDPR compliance, U.S. federal regulations, and CCPA/CPRA compliance issues for domestic and international clients.

Yugo is a Bengoshi (Japanese Attorney) who litigated before the Tokyo District Court and Tokyo High Court. There, he represented technology companies on matters ranging from patent and trademark licensing agreements to international mergers and acquisitions.

Agenda

I. Understanding artificial intelligence – how does it work | 1:00pm – 1:30pm

  • What is AI?
  • Types of AI and their use cases
  • Technological and Social Issues surrounding AI

II. AI and Intellectual Property | 1:30pm – 2:00pm

  • Copyright Issues
    • Copyright implications related to generative AI
    • Ownership of generated content and infringement concerns
  • Patent Considerations
    • Patentability criteria and patenting AI-generated inventions
    • Patent issues surrounding AI technologies
  • Trademark and Branding
    • Use of AI in brand protection strategies

Break | 2:00pm – 2:10pm

III. AI and Data Privacy Law | 2:10pm – 3:10pm

  • The restrictions on automated decision-making
    • California Consumer Privacy Act Draft Regulations on Automated Decision Making
    • Executive Order on Safe, Secure and Trustworthy Artificial Intelligence
    • General Data Protection Regulation’s restrictions on Automated Decision Making
  • European Union’s Artificial Intelligence Act
    • Europe’s approach in Regulating AI
    • Categories of restricted AI practiced under the EU Artificial Intelligence Act
  • Laws regulating Use of AI in Employment
    • State laws that regulate the use of AI
    • Federal bills that may regulate use of AI in the future.

Break | 3:10pm – 3:20pm

IV. Practical Effects of AI in business and transactions | 3:20pm – 4:20pm

  • Confidentiality
    • Measures to protect confidentiality
    • Considerations when allowing the use of AI in businesses
  • Transparency
    • Measures to identify synthetic data versus actual data
    • Measures to avoid and identify hallucinations
  • Bias
    • Considerations to avoid training set bias
    • Considerations to prevent and remediate a trained AI systems with bias