2nd Annual Conference on AI Law, Ethics, Safety & Compliance - WEB

2nd Annual Conference on

AI Law, Ethics, Safety & Compliance September 25–26, 2024 | DC Bar Association | Washington, DC The country’s most practical, comprehensive program on AI bias, responsible use, privacy, safety, ethics, governance, and beyond!

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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

Elham Tabassi

Chief of Staff, Attorney Advisor to FTC Commissioner Alvaro Bedoya Federal Trade Commission (FTC)

Gain Best Practices from: Ê Google

Chief AI Advisor and Associate Director for Emerging Technologies National Institute of Standards and Technology (NIST)

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

Ê Cisco Ê SoftBank Group International

Ê Salesforce Ê Pfizer And more!

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Director, Technology Strategy, International Information & Communications Policy Bureau of Cyberspace and Digital Policy, U.S. Department of State

Anti-Bias Laws

Ê META

Ê Novartis

Associate Legal Counsel U.S. Equal Employment Opportunity Commission (EEOC)

Alka Patel

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

Ê OpenAI

Ê Comcast

Chief Information Security Officer United States Citizenship and Immigration Services (USCIS)

Raymond L. Peeler

The 2024 agenda has been fully updated to keep up with the rapidly evolving AI landscape! Join real-world, cross-industry discussions on:

Ê Microsoft

Ê UBS

Shane Barney

Pre-Conference Workshops on September 24th: Pre-Conference “Level Setting”

A The Newest, Most Important Essentials of AI, Algorithmic Decision-Making, Testing, Responsible Use, and Privacy: A Complete Roadmap for Non-IT Professionals

Generative AI: A Deep Dive into the Fundamentals and Impact on Legal and Compliance—and the B Demystifying Intersection with Cybersecurity

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Distinguished Faculty CO-CHAIRS: 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

GOVERNMENT SPEAKERS INCLUDE: 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

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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

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

Ellie Nieves 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

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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

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Brock Dahl Partner Freshfields Bruckhaus Deringer

John Monterubio Senior Counsel Loeb & Loeb LLP

Ivy Estoesta Director Sterne, Kessler, Goldstein & Fox P.L.L.C.

Feyo Sickinghe Principal Regulatory Counsel Bird & Bird (Netherlands) LLP

Amir R. Ghavi Partner Fried, Frank, Harris, Shriver & Jacobson LLP

Danny Tobey Partner DLA Piper

Bradford J. Kelley Shareholder Littler Mendelson P.C.

Michael W. Ward Partner Baker Botts

Joseph D. Lockinger Partner Cooley LLP

Joseph Bombara Attorney/Technologist UCNY, Inc.

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September 24, 2024

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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.

Speakers include: Joseph Bambara Technologist Lawyer UCNY Inc.

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

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September 24, 2024

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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

Zheng Yang Head of AI/ML Amazon Web Services (AWS) Matthew Berlin Partner ArentFox Schiff

• 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

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September 25, 2024

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MAIN CONFERENCE DAY ONE

SEPTEMBER 25, 2024 7:15

Registration and Continental Breakfast

8:15

Co-Chairs’ Opening Remarks & Year in Review: The Real-World Aftermath of the Biden Administration’s Executive Order Betsy Greytok Associate General Counsel, Foundation Models IBM Corporation

8:45

Alka Patel Director, Technology Strategy, International Information & Communications Policy Bureau 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.

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.

Sarah Murphy Gray Senior Product Strategist, Responsible AI Google Ellie Nieves Vice President & Assistant General Counsel Strategic Public Policy Initiatives Guardian Life Insurance

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Ani Gevorkian Director, Responsible AI Public Policy CELA Office of Responsible AI Microsoft Meng Jia Yang Senior Counsel, AI Policy & Regulation Open AI

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September 25, 2024

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9:45

Extended Networking Break

10:15

onfronting Outdated Machine Learning, AI Practices and Changing Algorithms: C 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

David Schwartz CEO & Co-Founder Ethics Through Analytics

Josh Jackson Federal Cybersecurity Cisco

• Addressing potential red flags proactively • Developing proactive strategies for regulatory compliance

11:00

allucinations, Image Generation, and Responsible Use: H 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

Jackie Stanley Senior Compliance Counsel, Responsible AI/Digital Health Pfizer John Monterubio Senior Counsel Loeb & Loeb LLP

• 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

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Networking Luncheon

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September 25, 2024

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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

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)

» 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

2:30

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Afternoon Networking Break

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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

3:45

September 25, 2024

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Shane Barney Chief Information Security Officer United States Citizenship and Immigration Services USCIS Interviewer: Brock Dahl Partner Freshfields Bruckhaus Deringer

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.

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Speakers include: Betsy Greytok Associate General Counsel, Foundation Models IBM Corporation

Sam Kaplan Senior Director and Assistant General Counsel, Public Policy & Government Affairs Palo Alto Networks

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September 25, 2024

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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

5:15

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

Closing Remarks; Conference Adjourns to Day Two

NETWORKING COCKTAIL RECEPTION

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September 26, 2024

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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

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September 26, 2024

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Special Interview Kai Zenner Head of Office and Digital Policy Adviser for MEP Axel Voss (EPP group) European Parliament

10:00

Feyo Sickinghe Principal Regulatory Counsel Bird & Bird (Netherlands) LLP

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

Shea Brown Founder & CEO BABL AI Inc. Joseph D. Lockinger Partner Cooley LLP

• 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

11:00

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Extended Networking Break

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September 26, 2024

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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.

1:00

Networking Luncheon

1:45

CASE STUDIES

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

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

Brendan Kelleher Chief Compliance Officer SoftBank Group International

• Explainability: transparency and traceability

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September 26, 2024

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Special Interview

Hadassah Drukarch Director of Policy & Delivery Responsible AI Institute

3:00

Afternoon Networking Break

3:15

KEYNOTE

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

Markus Hartmann General Counsel Mister Car Wash Bradford J. Kelley Shareholder Littler Mendelson P.C.

• Unique pre-implementation factors for compliance and predictive monitoring systems • Unforeseen liability risks associated with AI adoption in compliance and monitoring frameworks

4:45

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Co-Chairs’ Closing Remarks; End of Conference

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Curating Modern, Authoritative, Content for 40 Years

U.S. Implications of the EU AI Act

Leveraging Ethical AI for Effective Compliance

The European Union (EU) is leading the global charge with AI regulations. U.S. companies are not beyond their regulatory reach, however, and should be preparing their AI risk mitigation efforts accordingly.

Artificial intelligence (AI) can serve as a powerful tool in helping companies achieve more efficient business operations and drive growth. At the same time, it also poses myriad ethical, legal and compliance risks if not developed and governed responsibly.

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