Broadcast Date: Monday, December 09, 2024
from 12:00 pm to 1:00 pm (ET)
Overview:
Navigating Antitrust and IP challenges in AI and algorithms demands adapting traditional frameworks to address issues like algorithmic collusion and data dominance, while striking a balance between fostering innovation and preventing anti-competitive practices. Discussions on data access, interoperability, and ethics underscore the complexity of AI development and regulation. Regulatory developments will both influence and be influenced by AI innovation.
Join Cleve Tyler and Steven Gawthorpe of Berkeley Research Group, LLC, as they delve into the evolving dynamics of AI-driven markets, focusing on the challenges posed by monopolistic behaviors, data dominance, and algorithmic collusion.
Key issues that will be covered in this course are:
- Algorithmic Collusion and Market Dynamics
- Data Dominance and Monopolistic Behaviors
- Balancing IP Protections and Competition in AI Development
- Ethical Considerations in AI Algorithm Deployment
- Role of regulatory landscape and AI innovation
Credit:
Course Level:
Intermediate
Advance Preparation:
Print and review course materials
Method of Presentation:
On-Demand Webcast
Prerequisite:
Basic understanding of antitrust and IP laws
Course Code:
1411125
Total Credits:
CLE Credit:
CA CLE 1.00 General - Approved Until: 6/30/2025
PA CLE 1.00 General - Approved Until: 11/14/2026
VT CLE 1.00 General - Approved Until: 12/31/2025
NJ CLE 1.00 General - Credits through Reciprocity
NY CLE 1.00 Areas of Professional Practice - Credits through Reciprocity
AR CLE 1.00 General - Credits through Reciprocity
CT CLE 1.00 General - Credits through Reciprocity
NH CLE 1.00 General – Meets the requirements of NH Supreme Court Rule 53
MO CLE 1.00 General - Approved Until: 11/14/2024
Pending CLE Application:
MS, GA, TN, WI
Self-Apply:
AL, CO, DE, FL, ID, IL, IN, IO, KS, KY, LA, NC, ME, MN, MT, NE, NV, NM, ND, OH, OK, OR, SC, SD, TX, UT, VA, WA, WV, WY
If you’d like us to apply for CLE, you may opt to pay the CLE processing fee here.
No MCLE Requirements:
DC, MD, MA, MI, SD
Not Eligible for CLE:
AK, AZ, HA
How to Claim CLE Credits Per State:
https://knowledgewebcasts.com/how-to-claim-cle-credits-per-state/
CLE State Requirements:
https://knowledgewebcasts.com/cle-state-requirements/
CPE State Requirements:
Speaker Panel:
Cleve Tyler, PhD, Managing Director
Berkeley Research Group, LLC
Cleve B. Tyler, PhD, is a managing director at Berkeley Research Group, LLC who specializes in applying economic analyses to antitrust, intellectual property, and damages issues. Dr. Tyler is an economist with more than 25 years of experience who has provided expert testimony more than two dozen times in almost 50 cases. He has analyzed economic and damages issues across many industries such as waste collection and disposal, technology platforms, and enterprise software. Dr. Tyler also teaches, writes, and speaks about competition and intellectual property topics. He teaches graduate-level courses in industrial organization and microeconomics in Johns Hopkins University’s applied economics program. Dr. Tyler is an author of the book Assets and Finance: Calculating Intellectual Property Damages, 2024-2025 Edition, published by Thomson-Reuters.
Steven Gawthorpe, PhD, Associate Director
Berkeley Research Group, LLC
Steven Gawthorpe, PhD, is a data scientist with more than ten years of experience. He specializes in open-source intelligence techniques for investigating financial crime and corruption.
His technical expertise includes machine learning (ML) and natural language processing, and he plays a pivotal role in the development of advanced artificial intelligence (AI) solutions at BRG. His work spans a diverse range of AI/ML applications, from information retrieval and named-entity recognition to text generation and computer vision.
Before joining BRG, Dr. Gawthorpe served as the senior data scientist and project lead for the Drugs Monitoring Platform (DMP) at the United Nations Office of Drugs and Crime. In this capacity, he developed an innovative AI solution that continuously extracts global news content related to illicit drug seizures.
Agenda:
Segment 1:
Steven Gawthorpe, PhD, Associate Director
Berkeley Research Group, LLC
- MARKET CONCENTRATION
- Industry dominated by few players (Google: 40+ models, OpenAI: 20+ models)
- Training costs creating insurmountable barriers ($191M for Gemini Ultra)
- Academic institutions falling behind due to resource constraints
- DATA DOMINANCE
- Data monopolies threatening competitive innovation
- Exponential increase in training data requirements
- TRANSPARENCY CHALLENGES
- Structural hallucination inherent in all AI systems
- Open vs. Closed source debate impacting accountability
- INTEGRATION COMPLEXITY
- LLM pipeline integration making attribution difficult
- Parallel to Deepwater Horizon disaster - multiple stakeholder responsibility
- Lack of evaluation metrics in production pipelines
- REGULATORY CONCERNS
- FTC cracking down on deceptive AI claims (DoNotPay case)
- Big Tech Regulatory Capture
Segment 2:
Cleve Tyler, PhD, Managing Director
Berkeley Research Group, LLC
- Overview of AI Industry – Some Key Takeaways
- BRG Global AI Regulation Report
- Regulatory Framework
- AI and Antitrust – Competition Agencies have the Tools, but Dynamic Markets Always a Challenge
- What is price fixing in a world of AI-driven algorithms?
- AI and Intellectual Property – Questions about Copyright Infringement now
- Patent cases and trade secret misappropriation cases on horizon
Date & Time:
Monday, December 09, 2024
12:00 pm to 1:00 pm (ET)
Who Should Attend:
- Antitrust Lawyers/Consultants
- Intellectual Property Lawyers/Consultants
- Corporate Lawyers
- Technology Executives
- AI Professionals
- Data Scientists
- Compliance Officers
- General Counsel
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