AI Gone Wrong: Avoiding Legal Landmines in the Age of Artificial Intelligence

With the rise in artificial intelligence class action lawsuits and government enforcement cases, staying updated on the legal issues surrounding AI is crucial to avoiding pitfalls. This program explores U.S. Securities and Exchange Commission (SEC) and Federal Trade Commission (FTC) enforcement cases, class action lawsuits, and the latest statutes applicable to AI. Attendees will learn actionable strategies to avoid AI washing claims, IP infringement and loss, and violations of data privacy laws.


Learning Objectives:

1. Analyze SEC and FTC enforcement cases on AI washing to understand the concept of genuine AI under the law
2. Evaluate intellectual property infringement and loss, and derive key takeaways from related class action lawsuits
3. Assess relevant class action lawsuits and FTC enforcement cases, understand the application of new statutes and data privacy principles to AI and apply these insights to ensure compliance and mitigate legal risks
4. Analyze hypothetical cases to apply legal strategies for mitigating risks related to AI washing, IP infringement, and loss, and data privacy
5. Develop strategic actions and effective audit questions to protect clients' business interests and prevent potential government investigations and class action lawsuits