Artificial Intelligence and the Law 2024 Update: How Evolving AI Technology Is Impacting the Law and the Practice of Law

Artificial intelligence (AI) is changing the way we live, work, and play—and the proliferation of AI systems that directly affect individuals and companies will continue to accelerate in the future. This seminar is an annual update that will focus on the law of AI, autonomous and algorithmic systems (collectively AI), and the impact of AI on legal practice. It offers attorneys an opportunity to develop a better understanding of AI, including its history, uses, and limitations, as well as the law developing nationally and internationally relevant to AI. 

The seminar begins with a survey of AI and its applications. Next, it examines the interplay between Trustworthy AI, AI Governance and AI Risk, and how that relates to evolving law covering AI. This includes examination of how current law is being applied to AI technology and how regulators are attempting to address future concerns. Given the broad uses of AI in every sector and the relationship between AI and data, the seminar considers laws and standards covering privacy, data usage, and security as well as AI specific and relevant sectoral specific laws. Further, the seminar explores various certifications and standards being adopted to ensure Trustworthy AI.

• Examine laws and regulations relevant to AI, autonomous and algorithmic systems, including federal, state, and international regulatory actions on the subject
• Understand how AI is being used in different sectors and how AI impacts litigation and transactional matters
• Learn about the relationship between Trustworthy AI and AI Governance, Risk and Compliance, as well as the standards and certifications being created to ensure Trustworthy AI
• Discover how artificial intelligence is being used in the practice of law
• A brief history of artificial intelligence (AI), autonomous and algorithmic systems, including machine learning (ML)
• The state of AI/ML, including current applications and future direction of the technology
• The fundamentals of Trustworthy AI and its relationship to privacy and data security regulation
• The technical risks AI creates, including explain-ability and interpretability, AI “brittleness” and data drift, bias in the AI lifecycle, and how to explain legal mandates to data scientists
• How AI risks have manifested in past AI incidents, including incidents related to both AI predictions and security
• How current laws apply to AI and a view into the future of AI regulation, including federal and state regulatory action and the European Commission Regulations on Artificial Intelligence (EU AI act)
• How attorneys should think about security, privacy, and algorithmic discrimination risks as they relate to AI and existing statutes and regulations
• How AI governance is being incorporated in traditional frameworks and the emergent development of AI governance frameworks
• What attorneys should consider when litigation or transactional matters involve AI, including discovery, legal drafting, risk management and more

Brian Alexander, Omina Technologies / McLean

Brian Alexander has worked with technology companies for 25 years in roles ranging from advisor to executive.  He graduated from Florida International University with a B.S. in mechanical engineering. He entered private law practice after graduating magna cum laude from the Catholic University, Columbus School of Law.  While in private practice, he represented technology organizations in intellectual property, regulatory, corporate, and litigation matters. 

For the last 10 years, Mr. Alexander has advised companies in diverse industries regarding enterprise governance, risk, and compliance, including privacy and data security compliance.  He is currently the president of Omina Technologies US, an AI engineering and professional services firm that specializes in Trustworthy and Compliant Artificial Intelligence/Machine Learning solutions. At Omina, he is responsible for corporate strategy and management.

Brenda K. Leong, Luminos.Law / Washington DC

Brenda Leong is a partner at Luminos.Law (formerly BNH.AI), a boutique law firm uniquely founded by a partnership between lawyers and data scientists, dedicated entirely to developing policies and practices around AI governance, including applying Generative AI, model risk management frameworks, performing model audits, and creating de-identification architecture and certification, along with designing and automating AI policies and procedures. Previously, Ms. Leong was senior counsel and director of AI and ethics at the Future of Privacy Forum, where she oversaw the development and analysis of AI and ML resources. She is a recognized expert on the responsible use of biometrics and digital identity, with a focus on facial recognition, facial analysis, and emerging issues around voice-operated systems. Prior to her work at FPF, she served in the US Air Force. She is a 2014 graduate of George Mason University School of Law.