2024 Agenda
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Workshops
September 24, 2024
Workshop A – Pre-Conference “Level Setting” The Newest, Most Important Essentials of AI, Algorithmic Decision-Making, Testing, and Responsible Use, and Privacy: A Complete Roadmap to ChatGPT, Gemini, Microsoft Copilot, and More Tools for Non-IT Professionals
Joseph BambaraTechnologist LawyerWithersWorldWide
Join us in our morning workshop to delve into the intricate landscape of AI. Our expert speakers will lead you on a comprehensive exploration, covering AI stakeholders, capabilities, and critical considerations such as legalities, compliance, safety, and ethics. By the workshop’s conclusion, you’ll depart with a practical blueprint and hands-on experience from real-world examples and actionable takeaways. This invaluable workshop will not only equip you for post-conference ventures, but also enhance your engagement in the main conference discussions over the following two days. Accompanied by speaker-prepared reference materials, you’ll gain insights and updates on pivotal topics, including:
- Clarifying fundamental concepts: bias, responsible use, safety, deep learning, and more
- Understanding distinctions between AI, algorithmic decision-making, machine learning, and data analytics
- Navigating the role and ethical considerations of natural language processing (nlp) in AI
- Investigating AI tool capabilities and associated risks, with a focus on privacy and compliance
- A primer on CHATGPT, GEMINI, MICROSOFT COPILOT, and more tools
- Key regulations and engaging legal risks for algorithmic decision-making and bias testing
- Adapting compliance frameworks to evolving AI dynamics, particularly in automated decision-making
- Defining “Responsible AI usage” for internal policies
- Addressing new privacy concerns across AI applications: A primer on federal and state laws and regulations and GDPR restrictions
Workshop B – Demystifying Generative AI: A Deep Dive into the Fundamentals of Generative AI and its Rapid Impact on AI Law, Compliance and Ethics
Matthew BerlinPartner and AIMetaverse & Blockchain Industry Group Co-Leader
Zheng YangHead of AI/MLAmazon Web Services (AWS)
Join us as we dive deeper into understanding what is (and isn’t) Generative AI, common misconceptions and the potential legal, compliance, ethical and safety implications to address before it’s too late. Benefit from invaluable takeaways on critically important topics, including:
- Defining “Generative AI” and what it does in practice
- Assessing the safety, ethical, and compliance “red flags” of generative AI and how they differ from other types of AI tools
- What is “unsupervised” or “semi-supervised” learning?
- Defining foundation models, generative adversarial networks (GANS), and variational autoencoders (VAES)
- Demystifying “transformers”
- Getting familiar with the latest tools and their functionalities, including MIDJOURNEY, DALL-E2, RUDALL-E and newer projects
- Understanding how Generative AI intersects with ethics, compliance, privacy and legal
- Potential usages of Generative AI to address cybersecurity risks
- Understanding “responsible use” in the context of Generative AI
- Identifying the implications of Generative AI vs. Other AI tools and capabilities
- Working cross-functionally to assess the appropriateness and risk of Generative AI to your business
Day 1
September 25, 2024
Registration and Continental Breakfast
Co-Chairs’ Opening Remarks & Year in Review: The Real-World Aftermath of the Biden Administration’s Executive Order
Betsy GreytokAssociate General Counsel, Foundation ModelsIBM Corporation
Alka PatelDirector, Technology Strategy, International Information & Communications PolicyBureau of Cyberspace and Digital Policy, U.S. Department of State
The EU AI Act—and What it Means for the Legal, Regulatory, Safety and Compliance Landscapes in the U.S.
Sarah Murphy GraySenior Product Strategist, Responsible AIGoogle
Ellie NievesVice President & Assistant General CounselGuardian Life
Ani GevorkianDirector, Responsible AI Public Policy, CELA Office of Responsible AIMicrosoft
Meng Jia YangSenior Counsel, AI Policy & RegulationOpen AI
The European Union’s AI Act introduced landmark restrictions on the use of AI. Benefit from a comprehensive update on the host of requirements—and their wide-reaching application and impact in the U.S. as well as clarification on the regulation’s risk-based approach to AI.
Networking Break
Confronting Outdated Machine Learning, AI Practices and Changing Algorithms: New, Emerging Legal Implications and Practical Steps to Mitigate Liability Risks
David SchwartzCEO & Co-FounderEthics Through Analytics (ETA) LLC
Josh JacksonAccount ExecutiveCisco
- Understanding how to implement retrieval augmented generation
- Implementing robust security measures for AI and machine learning
- Modernizing compliance and incorporating contemporary approaches to comply with regulations
- Addressing potential red flags proactively
- Developing proactive strategies for regulatory compliance
Hallucinations, Image Generation, and Responsible Use: New Red Flags to Look Out For-and the Latest in Risk Mitigation, Responsible AI Development and Deployment
John MonterubioSenior CounselLoeb & Loeb LLP
Jackie StanleySenior Compliance Counsel, Responsible AI/Digital HealthPfizer
Become equipped with actionable insights and practical tools to navigate the complex landscape of responsible AI development and deployment. Points of discussion will include:
- Image generation using GenAI & ethical, legal, and compliance considerations
- Understanding ethical, legal, and compliance considerations in image generation using GenAI
- Defining the essential components of a responsible AI framework: transparency, fairness, accountability, and inclusivity
- Avoiding common pitfalls in AI framework development and implementation
- Strategies for identifying and resolving ethical dilemmas in AI technologies
- Balancing innovation with ethical considerations in AI development and deployment
Networking Luncheon
AI, Data Security and Privacy Risks: The Finer Points of Conducting Effective Impact Assessments to Safeguard Against Intensifying Risks
Markus HartmannGeneral CounselMister Car Wash
Matt FrederickGlobal Privacy OfficerThe Boeing Company
Julie Myers WoodCEOGuidepost Solutions LLCFormer Special Assistant to the President
- Assessing how companies prioritize safeguarding client data when utilizing AI technology Strategies to identify and mitigate data privacy risks associated with AI
- Guidelines for addressing the potential impact on privacy throughout the AI application lifecycle
- Exploring what approaches are commonly employed to ensure the security and integrity of client data in AI-driven processes
- Effectively employing Governance, Risk Management, and Compliance (GRC) frameworks to ensure adherence with legal and risk-based standards
- Best practices for data preparation and model training
- Identifying how to ensure that clients comprehend the impacts and implications of recommendations generated by AI models Utilizing proactive communication strategies
- Gaining a better understanding of the capabilities and limitations of AI models
- How do we ensure they are adequately informed, considering potential power imbalances? Employing inclusive communication practices
- Creating a client feedback platform
- Ensuring the protection and confidentiality of client information in AI operations Deploying effective security measures throughout the AI lifecycle
- Proactive approaches to protecting data privacy, detecting and preventing data breaches, and enhancing the integrity of client data
- How can we ensure that proposals made to clients are transparent Outlining the approach, potential risks, and mitigation strategies involved with AI systems
- Understanding the limitations of proposed AI solutions
Networking Break
The Growing Convergence of AI and Cybersecurity: Bolstering Safety and Compliance to Combat New, Sophisticated Threats and Bad Actors
Shane BarneyChief Information Security OfficerUnited States Citizenship and Immigration Services USCIS
Brock DahlPartnerFreshfields Bruckhaus Deringer
Join us as our speakers provide actionable insights for developing comprehensive cybersecurity strategies that leverage AI while mitigating the risks associated with emerging threats. Topics will include:
- Exploring the ways in which AI can bolster corporate cybersecurity measures, including its potential to enhance threat detection and response mechanisms
- Discussing the concerning trend of malicious actors utilizing AI to amplify their intrusion capabilities, highlighting the need for proactive defense strategies
- A closer look at the current landscape of companies investing in compliance efforts related to cybersecurity and AI integration
WHAT WOULD YOU DO IF…
AI, Data Security and Privacy in Practice: Practical Takeaways for Resolving Complex, Time Sensitive Dilemmas
Betsy GreytokAssociate General Counsel, Foundation ModelsIBM Corporation
Sam KaplanSenior Director and Assistant General Counsel, Public Policy & Government AffairsPalo Alto Networks
Explore practical takeaways for resolving complex, time-sensitive dilemmas in AI and data security through engaging hypothetical scenarios. This session will provide actionable strategies to tackle real-world privacy challenges effectively.
IP PATENTS AND COPYRIGHT
Copyrights, Patents and Trade Secrets: Access vs. ownership of AI training data, AI-assisted authorship vs. invention, and other IP conundrums.
Ivy EstoestaDirectorSterne, Kessler, Goldstein & Fox P.L.L.C.
Amir R. GhaviPartnerFried, Frank, Harris, Shriver & Jacobson LLP
Corey SalsbergVice President, Global Head IP AffairsNovartis
- Balancing access to AI training data with respect for IP rights in data
- Discussing the Ethics of Training Models on Copyrighted Content (including fair use considerations)
- Understanding how AI and IP Protection can collide
- Overcoming the newest obstacles to obtaining patent rights for AI-assisted inventions and copyrights for AI-assisted works
- Exploring the potential impact of AI on prior art, the level of skill in the art, and related topics
Closing Remarks
Cocktail Reception
Day 2
September 26, 2024
Networking Breakfast
Co-Chair Opening Remarks
“AI Washing” and the Changing Landscape of Enforcement and Compliance: Insights from FTC, DOJ, SEC, and EEOC
Aaron RiekeChief of Staff, Attorney Advisor to FTC Commissioner Alvaro BedoyaFederal Trade Commission (FTC)
Raymond L. PeelerAssociate Legal CounselU.S. Equal Employment Opportunity Commission (EEOC)
Lisa H. MillerDeputy Assistant Attorney General (DAAG)U.S. Department of Justice
Virginia M. Rosado DesiletsAssistant Director Asset Management Unit Division of EnforcementU.S. Securities and Exchange Commission, Division of Enforcement
Michael W. WardPartnerBaker Botts
During our morning session, thought leaders will explore Recent Developments in Enforcement and Compliance amid the SEC Settlements with Investment Advisers for AI Washing.
Bias Mitigation and Algorithms: Developing Best Practices and Policies to Minimize Consumer Harm While Navigating AI Anti-Bias Laws
Shea BrownCEO & FounderBABL AI Inc.
Joseph D. LockingerPartnerCooley LLP
- Redefining strategies for addressing evolving legal and compliance challenges in preventing algorithmic bias
- Ensuring equitable access and fair terms in credit scoring and lending to combat bias
- Utilizing safety and fairness metrics to assess machine learning model trustworthiness
- Investigating bias mitigation algorithms’ roles in promoting fairness and diversity in AI
- Empowering fairer AI solutions through accessible bias detection and mitigation tools
- Navigating new AI anti-bias legislation’s influence on bias prevention efforts
- Crafting best practices for mitigating bias risks in AI algorithms
- Conducting bias testing on algorithmic decision-making systems
- Implementing AI testing approaches and meeting standards of fairness and accuracy
- Identifying early-stage bias factors in algorithm development
- Assessing legal and ethical ramifications of biases in AI applications
- Ensuring data integrity within AI algorithms for reliable results
Morning Networking Break
AI Governance Frameworks
The Latest and Greatest in AI Governance Frameworks—and the Interplay with Privacy and GDPR Compliance Structures: Concrete Examples and Lessons Learned
Alka PatelDirector, Technology Strategy, International Information & Communications PolicyBureau of Cyberspace and Digital Policy, U.S. Department of State
Shaila ShankarSenior Vice President, EngineeringCisco Security Business Group (SBG)
Danny TobeyPartnerDLA Piper
During this morning session, delegates will gain a deeper understanding of AI frameworks, and how they contribute to the research, standards and data required towards the future and successful advancement of Artificial Intelligence. The discussion will also focus on the practical impact of these frameworks and the roadblocks to effective implementation.
Networking Luncheon
Hadassah DrukarchDirector of Policy & DeliveryResponsible AI Institute
Alka PatelDirector, Technology Strategy, International Information & Communications PolicyBureau of Cyberspace and Digital Policy, U.S. Department of State
Betsy GreytokAssociate General Counsel, Foundation ModelsIBM Corporation
Afternoon Networking Break
The Lengths and Limits of Employee Monitoring and Predictive Analytic: Leveraging AI within Legal Boundaries
Markus HartmannGeneral CounselMister Car Wash
Bradford J. KelleyShareholderLittler
Evaluating of the risks and benefits of using AI tools in predicting and managing employee misconduct risks
- Assessing the effectiveness of AI tools in managing employee misconduct within organizational settings
- Navigating the complex legal and regulatory landscape surrounding AI integration to develop optimal implementation strategies
- Delineating legal boundaries and lessons from recent developments
- Unique pre-implementation factors for compliance and predictive monitoring systems
- Unforeseen liability risks associated with AI adoption in compliance and monitoring frameworks