2nd Annual Conference on AI Law, Ethics, Safety & Compliance - DS
Hear from our distinguished government faculty, including:
Kai Zenner
Head of Office and Digital Policy Adviser for MEP
Axel Voss (EPP group)
European Parliament
Aaron Rieke
Chief of Staff, Attorney Advisor to FTC Commissioner
Alvaro Bedoya
Federal Trade Commission (FTC)
Gain Best Practices from:
Ê Google
Ê Microsoft
Ê OpenAI
Ê META
Ê Cisco
Ê SoftBank Group International
Ê UBS
Ê Comcast
Ê Novartis
Ê Salesforce
Ê Pfizer And more!
Elham Tabassi
Chief AI Advisor and Associate Director for Emerging Technologies
National Institute of Standards and Technology (NIST)
Shane Barney
Chief Information
Security Officer
United States Citizenship and Immigration Services (USCIS)
Raymond L. Peeler
Associate Legal Counsel
U.S. Equal Employment Opportunity Commission (EEOC)
Alka Patel Director, Technology Strategy, International Information & Communications Policy
Bureau of Cyberspace and Digital Policy, U.S. Department of State
The 2024 agenda has been fully updated to keep up with the rapidly evolving AI landscape! Join real-world, cross-industry discussions on:
ª EU AI ACT: What it Means for the Legal, Regulatory, Safety and Compliance Landscapes in the U.S.
ª BIAS: The New, Emerging Developments in Bias Mitigation and Algorithms, and Minimizing Consumer Harm Amid AI Anti-Bias Laws
ª AI SAFETY AND RESPONSIBLE USE: Handling Hallucinations, Image Generation, Ethical Concerns and More Red Flags
ª PRIVACY RISKS: Implementing Strategies for Effective Impact Assessments
ª AI GOVERNANCE FRAMEWORKS: Concrete Examples of the Latest and Greatest—and Lessons Learned
Pre-Conference Workshops on September 24th:
A Pre-Conference “Level Setting”
The Newest, Most Important Essentials of AI, Algorithmic Decision-Making, Testing, Responsible Use, and Privacy: A Complete Roadmap for Non-IT Professionals
B Demystifying Generative AI: A Deep Dive into the Fundamentals and Impact on Legal and Compliance—and the Intersection with Cybersecurity
Distinguished Faculty
CO-CHAIRS: GOVERNMENT SPEAKERS INCLUDE:
Betsy Greytok
Associate General Counsel, Foundation Models
IBM Corporation
Alka Patel
Director, Technology Strategy, International Information & Communications Policy
Bureau of Cyberspace and Digital Policy, U.S. Department of State
Elham Tabassi
Chief AI Advisor and Associate Director for Emerging Technologies
National Institute of Standards and Technology (NIST)
Raymond L. Peeler
Associate Legal Counsel
U.S. Equal Employment Opportunity Commission (EEOC)
Aaron Rieke
Chief of Staff, Attorney Advisor to FTC Commissioner Alvaro Bedoya Federal Trade Commission (FTC)
IN-HOUSE
Shea Brown
Founder & CEO
BABL AI Inc.
Hadassah Drukarch
Director of Policy & Delivery
Responsible AI Institute
Matt Frederick
Chief Privacy Officer
The Boeing Company
Ani Gevorkian
Director, Responsible AI Public Policy
CELA Office of Responsible AI
Microsoft
Shane Barney
Chief Information Security Officer
United States Citizenship
Immigration Services USCIS
Kai Zenner
Head of Office and Digital Policy Adviser for MEP Axel Voss (EPP group)
European Parliament
Alka Patel
Director, Technology Strategy, International Information & Communications Policy
Bureau of Cyberspace and Digital Policy, U.S. Department of State
Sarah Murphy Gray
Senior Product Strategist, Responsible AI Google
Markus Hartmann
General Counsel
Mister Car Wash
Josh Jackson
Federal Cybersecurity Cisco
Sam Kaplan
Senior Director & Assistant General Counsel,
Public Policy & Government Affairs
Palo Alto Networks
Brendan Kelleher
Chief Compliance Officer
SoftBank Group International
Ellie Nieves
Chrisopher Kraft
Deputy CTO, AI/Emerging Technology
U.S. Department of Homeland Security
Virginia M. Rosado Desilets
Assistant Director Asset Management Unit Division of Enforcement
U.S. Securities and Exchange Commission, Division of Enforcement
Lisa H. Miller
Deputy Assistant Attorney General (DAAG)
U.S. Department of Justice
Vice President & Assistant General Counsel
Strategic Public Policy Initiatives
Guardian Life Insurance
Corey Salsberg
Vice President, Global Head IP Affairs
Novartis
David Schwartz
CEO & Co-Founder
Ethics Through Analytics
Shaila Shankar
Senior Vice President, Engineering
Cisco Security Business Group (SBG)
Jackie Stanley
Senior Compliance Counsel, Responsible AI/Digital Health
Pfizer
Julie Myers Wood CEO
Guidepost Solutions LLC
(Former Special Assistant to the President)
Meng Jia Yang
Senior Counsel, AI Policy & Regulation Open AI
Zheng Yang Head of AI/ML
Amazon Web Services (AWS)
LAW FIRMS
Matthew Berlin Partner
ArentFox Schiff
Joseph Bombara
Attorney/Technologist
UCNY, Inc.
Brock Dahl Partner
Freshfields Bruckhaus Deringer
Ivy Estoesta Director
Sterne, Kessler, Goldstein & Fox P.L.L.C.
Amir R. Ghavi Partner
Fried, Frank, Harris, Shriver & Jacobson LLP
Bradford J. Kelley
Shareholder
Littler Mendelson P.C.
Joseph D. Lockinger Partner Cooley LLP
John Monterubio
Senior Counsel
Loeb & Loeb LLP
Feyo Sickinghe
Principal Regulatory Counsel
Bird & Bird (Netherlands) LLP
Danny Tobey Partner
DLA Piper
Michael W. Ward Partner
Baker Botts
PRE-CONFERENCE WORKSHOP A September 24, 2024
9:00 am–12:30 pm (Registration opens at 8:30 am)
Pre-Conference “Level Setting”—The Newest, Most Important Essentials of AI, Algorithmic Decision-Making, Testing, Responsible Use, and
Privacy: A Complete Roadmap for Non-IT Professionals
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
Speakers include:
Joseph Bambara Technologist Lawyer UCNY Inc.
PRE-CONFERENCE WORKSHOP B
September 24, 2024
1:30 pm–5:00 pm (Registration opens at 1:00 pm)
Demystifying Generative
AI: A Deep Dive into the Fundamentals of Generative AI—and the Intersection with Cybersecurity
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
Matthew Berlin Partner ArentFox Schiff
Zheng Yang Head of AI/ML Amazon Web Services (AWS)
MAIN CONFERENCE DAY ONE SEPTEMBER 25, 2024
9:45 Extended Networking Break
10:15 Confronting Outdated Machine Learning, AI Practices and Changing Algorithms: New, Emerging Legal and Security Implications - and Practical Steps to Mitigate High Stakes Risks
• 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
Ethics Through Analytics
11:00 Hallucinations, Image Generation, and Responsible Use: New Red Flags to Look Out For-and the Latest in Risk Mitigation, Responsible AI Development and Deployment
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
12:00 Networking Luncheon
David Schwartz CEO & Co-Founder
Josh Jackson Federal Cybersecurity Cisco
Jackie Stanley Senior Compliance Counsel, Responsible AI/Digital Health Pfizer
John Monterubio Senior Counsel Loeb & Loeb LLP
1:30 AI, Data Security and Privacy Risks: The Finer Points of Conducting Effective Impact Assessments to Safeguard Against Intensifying Risks
• 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
Markus Hartmann General Counsel Mister Car Wash
Matt Frederick Chief Privacy Officer The Boeing Company
Julie Myers Wood CEO
Guidepost Solutions LLC (Former Special Assistant to the President)
» 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
2:30 Afternoon Networking Break
3:00 The Growing Convergence of AI and Cybersecurity: Bolstering Safety and Compliance to Combat New, Sophisticated Threats and Bad Actors
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
Shane Barney
Chief Information Security Officer
United States Citizenship and Immigration Services USCIS
Interviewer:
Brock Dahl Partner
Freshfields Bruckhaus Deringer
3:45 WHAT WOULD YOU DO IF…
AI, Data Security and Privacy in Practice: Practical Takeaways for Resolving Complex, Time Sensitive Dilemmas
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.
Betsy Greytok
Associate General Counsel, Foundation Models IBM Corporation
Sam Kaplan
Senior Director and Assistant General Counsel, Public Policy & Government Affairs Palo Alto Networks
Speakers include:
4:15 Copyrights, Patents and Trade Secrets:
Access vs. ownership of AI training data, AI-assisted authorship vs. invention, and other IP conundrums
• 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
Corey Salsberg Vice President, Global Head IP Affairs Novartis
Ivy Estoesta Director
Sterne, Kessler, Goldstein & Fox P.L.L.C.
Amir R. Ghavi Partner
Fried, Frank, Harris, Shriver & Jacobson LLP
5:15 Closing Remarks; Conference Adjourns to Day Two
NETWORKING COCKTAIL RECEPTION
MAIN CONFERENCE DAY TWO
September 26, 2024
8:30 Co-Chairs' Opening Remarks
8:35 “AI Washing” and the Changing Landscape of Enforcement and Compliance: Insights from FTC, SEC, and EEOC
During our morning session, thought leaders will explore Recent Developments in Enforcement and Compliance amid the SEC Settlements with Investment Advisers for AI Washing.
Aaron Rieke
Chief of Staff, Attorney Advisor to FTC Commissioner Alvaro Bedoya Federal Trade Commission (FTC)
Raymond L. Peeler
Associate Legal Counsel
U.S. Equal Employment Opportunity Commission (EEOC)
Virginia M. Rosado Desilets
Assistant Director Asset Management Unit Division of Enforcement
U.S. Securities and Exchange Commission, Division of Enforcement
Lisa H. Miller
Deputy Assistant Attorney General (DAAG)
U.S. Department of Justice
Moderator:
Michael W. Ward
Partner
Baker Botts
9:30 Special Interview
Zenner Head of Office and Digital Policy Adviser for MEP Axel Voss (EPP group)
European Parliament
10:00 Bias Mitigation and Algorithms: Developing Best Practices and Policies to Minimize Consumer Harm While Navigating AI Anti-Bias Laws
• 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
Shea Brown Founder & CEO BABL AI Inc.
Joseph D. Lockinger Partner Cooley LLP
11:00 Extended Networking Break
Kai
Feyo Sickinghe Principal Regulatory Counsel
Bird & Bird (Netherlands) LLP
11:15 KEYNOTE: NIST
Elham Tabassi
Chief AI Advisor and Associate Director for Emerging Technologies National Institute of Standards and Technology (NIST)
11:45 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
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.
Alka Patel Director, Technology Strategy, International Information & Communications Policy Bureau of Cyberspace and Digital Policy, U.S. Department of State
Shaila Shanka Senior Vice President, Engineering
Cisco Security Business Group (SBG)
Danny Tobey Partner
DLA Piper
1:00 Networking Luncheon
1:45 CASE STUDIES
Harnessing AI in Financial Services and Insurance: Extracting Cross-Industry Lessons and Best Practices
• Special considerations for customer service, credit decision-making, risk management, fraud and transaction monitoring and detection
• Data Ethics Principles: fairness, preventing harm, and human oversight
• Explainability: transparency and traceability
Brendan Kelleher Chief Compliance Officer SoftBank Group International
Hadassah Drukarch Director of Policy & Delivery Responsible AI Institute
Alka Patel
Director, Technology Strategy, International Information & Communications Policy Bureau of Cyberspace and Digital Policy, U.S. Department of State
Interviewed by:
Betsy Greytok
Associate General Counsel, Foundation Models IBM Corporation
Chrisopher Kraft
Deputy CTO, AI/Emerging Technology U.S. Department of Homeland Security
3:45 The Lengths and Limits of Employee Monitoring and Predictive Analytic: Leveraging AI within Legal Boundaries
• 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
Markus Hartmann General Counsel
Mister Car Wash
Bradford J. Kelley Shareholder
Littler Mendelson P.C.
CONTINUING LEGAL EDUCATION CREDITS
Accreditation will be sought in those jurisdictions requested by the registrants which have continuing education requirements. This course is identified as nontransitional for the purposes of CLE accreditation.
ACI certifies this activity has been approved for CLE credit by the State Bar of California.
ACI certifies this activity has been approved for CLE credit by the New York State Continuing Legal Education Board.
ACI has a dedicated team which processes requests for state approval. Please note that event accreditation varies by state and ACI will make every effort to process your request.
Questions about CLE credits for your state? Visit our online CLE Help Center at www.americanconference.com/accreditation/cle/
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