Registration and Continental Breakfast

Co-Chairs’ Opening Remarks

Bennett B. Borden
Partner, Chief Data Scientist
DLA Piper

Zee Moradi
Chief Data Officer and Executive Director
UBS Bank USA

AI SAFETY & RESPONSIBLE USE

The Good, the Bad and the Ugly Resolving High Stakes Challenges: The “How To” Aspects of Detecting and Mitigating the Risk Of Harm, Hallucinations and More

Cass Matthews
Office of Responsible AI
Microsoft

Cathy O’Neil
Founder & CEO
ORCAA

Alka Patel
Regional Vice President, Government & External Affairs, Keystone Region
Comcast
Former Chief Responsible AI, U.S. Dept. of Defense

Sarah Murphy Gray
Senior Product Strategist, Responsible AI
Google

During this opening session, gain practical takeaways for tackling a myriad of challenges and avoiding key missteps, including:

• Understanding what a responsible AI framework should (and shouldn’t) look like
• How companies are assessing and trying to resolve issues related to “Responsible Use”
• Adopting a risk-based approach and framework for AI safety
• The do’s and don’ts of developing an internal governance program to ensure AI doesn’t harm users
• Identifying AI safety tools that protect against bot “hallucinations”
• Developing safety response systems to detect and mitigate safety concerns
• Preventing accidents and unintended harmful behavior

Networking Break

BIAS

Preventing and Detecting Bias in Algorithms, Testing and AI Outputs: Redefining Your Approach to Resolving New, Emerging Legal and Compliance Dilemmas

Keith Sonderling
Commissioner
U.S. Equal Employment Opportunity Commission (EEOC)

Haniyeh Mahmoudian
Global AI Ethics Leader
DataRobot

Bradley Merrill Thompson
Member
Epstein Becker & Green, P.C.

• The grey areas of new AI anti-bias laws and their impact on preventing potential bias and discrimination
• Developing best practices to enhance AI algorithms to mitigate the risk of biases
• Testing algorithmic and automated decision-making systems for bias
• AI testing methodologies that satisfy reasonableness standards, fairness and accuracy
• Identifying potential criteria that could lead to bias at the early stage of development
• Understanding the legal, ethical and compliance implications with biases – and possible liability for companies and financial institutions
• Reviewing the data in AI algorithms and determining whether the data is reliable

Privacy

Privacy Guardrails, Data Security-and Your Risk Mitigation Strategy: The Biggest Pitfalls to Avoid When Conducting Impact Assessments and Addressing Suspected Violations

Lynn Haaland
Chief Compliance and Ethics Officer, Chief Privacy Officer
Zoom Video Communications

Julie Myers Wood
CEO
Guidepost Solutions LLC
Former Special Assistant to the President

• Clarifying the sensitivity of data inputs and outputs-and their associated privacy compliance challenges: Contrasting the issues for existing vs. new AI products
• Navigating new federal and state-wide privacy regulations
• Ensuring that privacy law concerns are being considered at the R&D stage-and how to flag potential issues early on
• Determining how companies should conduct impact privacy assessments and and address the risks indentified
• Revisiting how your organization handles consumer data and updating your policies accordingly
• Designing best practices for privacy for companies investing in AI
• Determining the most effective guardrails and tailoring them to the realities of your business-while satisfying legal requirements
• Conducting security checks and privacy impact assessments of AI solutions providers
• Testing automated decision-making systems for bias, discrimination, and privacy weaknesses
• Special considerations for addressing suspected privacy violations in the AI context

Networking Luncheon for Attendees and Speakers

KEYNOTE

Anup Dewan
Vice President, Cyber Security, Office of the Chief Strategy Officer
The White House

Interview

Ben Rossen
Senior Counsel, AI Policy & Regulation
OpenAI

Moderated by:

Bennett B. Borden
Partner, Chief Data Scientist
DLA Piper

Networking Break

EMPLOYEE MONITORING AND PREDICTIVE ANALYTICS

Implementing Employee Monitoring and Predictive Compliance Systems: How Far You Can Go in Predicting Misconduct with AI and What Crosses the Line

Darrell Gay
Partner
ArentFox Schiff LLP

Timothy S Klimpl
Counsel
Shipman & Goodwin LLP

As employers weigh the pros and cons of AI in the workplace, questions are being raised as to how AI tools can be leveraged to predict and mitigate the risk of employee misconduct. With a complex legal and regulatory maze, identifying the best way forward is fraught with a host of grey areas.

During this session, legal and compliance experts will provide real-world guidance on what can cross the line, takeaways from recent developments-and the unique considerations to keep in mind before implementing monitoring and predictive compliance systems, including the surprising and lesser-known liability risks.

AI ETHICS & GOVERNANCE-CROSS-INDUSTRY BENCHMARKING

The Hits and Misses in Using AI to Power an Effective AI Governance, Ethics and Compliance Program: Successes and Missteps to Flag Now

Chris Crowder
Head of Ethics & Compliance
Airbus

Luis Alejandro Velandia
Chief Data and Analytics Officer
Best Doctors Insurance

• Grappling with the growing impact of artificial intelligence across diverse sectors subject to a wide range of regulations
• Determining how to integrate your company’s core values into developing a responsible AI ethics program
• Understanding the benefits and how to develop a governance structure for AI compliance and ethics
• Managing the intersection between ethics, compliance programs and law – including emerging legal and regulatory standards
• Identifying the ethical implications associated with developing, delivering and procuring AI solutions
• Developing best practices to build “explainability” and transparency of AI tools
• Analyzing the way data is being collected, used and monitored
• Best practices for using AI in compliance with the American Bar Association’s Model Rules of Professional Conduct

Chairs’ Closing Remarks | Networking Reception

Registration

Closed-Door AI Ethics & Safety Working Group: Preventing and Putting Out Fires
(*by invitation only)

Zee Moradi
Chief Data Officer and Executive Director
UBS Bank USA

Dan Fisher
Director, Privacy, Digital & Data
Merck

This interactive benchmarking session will gather industry professionals for an exclusive, smaller-group discussion on complex challenges and emerging issues regarding AI ethics. Participants will benefit from “off the record” stories from corporate and the field, more insight into what is keeping your peers up at night- and the real-life lessons learned.

Co-Chair Opening Remarks

Bennett B. Borden
Partner, Chief Data Scientist
DLA Piper

Zee Moradi
Chief Data Officer and Executive Director
UBS Bank USA

AI and The Evolving Enforcement Landscape: Key Updates

Michael Atleson
Attorney, FTC Division of Advertising Practices
Federal Trade Commission (FTC)

Networking Break

NIST AND MORE AI FRAMEWORKS

A Closer Look at AI Governance Frameworks and Their Practical Implementation: How NIST and Other Frameworks Can Help Companies Seize the Benefits of AI

Elham Tabassi
Associate Director for Emerging Technologies
National Institute of Standards and Technology (NIST)

Carl T. Hahn
Vice President and Chief Compliance Officer
Northrop Grumman Corporation

Edward R. McNicholas
Partner
Ropes & Gray LLP

During this morning session, delegates will gain a deeper understanding of the NIST and other 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.

KEYNOTE ADDRESS

AI Ethics in US Air & Space Forces and Department of Defense

Lt Col Joseph Chapa
Chief Responsible AI Ethics Officer
U.S. Department of the Air Force

What do questions about algorithmic bias and model robustness have to do with AI in the military? In this morning keynote, Lt Col Chapa will show how the field of AI ethics applies to Department of Defense, and more specifically, Department of the Air Force use cases.

Networking Luncheon

Banking Insurance and Cross-Industry Takeaways

The Use of AI in Financial, Banking and Insurance Services—and the Broader, Cross-Industry Lessons

Kenneth Cherrier
VP, Chief Compliance Officer, Legal & Compliance
Fidelity & Guaranty Life Insurance Company

Zee Moradi
Chief Data Officer and Executive Director
UBS Bank USA

• Overview of AI in Banking, Insurance and Financial Services Industries: enhancing customer service, credit decisioning, risk management, fraud and transaction monitoring and detection
• Data Ethics Principles: fairness, preventing harm, and human oversight
• Explainability: transparency and traceability

PRIVACY THINK TANK AND HYPOTHETICAL EXERCISES

Privacy, Data Protection and Transparency Think Tank: The Newest Best Practices for Addressing Generative AI, ChatGPT, Consent and More Hot Button Challenges

Dan Fisher
Director, Privacy, Digital & Data
Merck

Lisa J. Sotto
Partner
Hunton Andrews Kurth

Sheela Kolluri
Clinical Domain Lead, Artificial Intelligence, Data & Analytics (AIDA)
Pfizer Digital

During this interactive session, speakers will discuss the latest best practices for addressing high stakes dilemmas through a series of hypothetical scenarios. Don’t miss out on putting theory into practice! Topics will include:

• Adapting your privacy compliance practices to the realities of AI risks
• Adopting a risk-based approach to privacy and AI overload: Structuring AI review processes based on cross-functional expertise
• Navigating customer and end-user consent
• Privacy considerations in the context of AI inputs/outputs
• Company use of generative AI and restricting company data for model training
• Managing G=generative AI and data protection

Fireside Chat with Walgreens Boots Alliance

Inderpal Bhandari
Member Board of Directors
Walgreens Boots Alliance

EU’s AI Act

The Realities of Complying with the EU’s AI Act: What It Takes to Satisfy New Requirements and Expectations

Feyo Sickinghe
Of Counsel
Bird & Bird (Netherlands) LLP

State of the Union 2023, EU president Ursula von der Leyen: ‘I believe Europe, together with partners, should lead the way on a new global framework for AI, built on three pillars: guardrails, governance and guiding innovation..’ With the Artificial Intelligence Act, Europe is introducing the first AI regulation of its kind. Yet, there are still open issues such as remote biometric identification, high risk systems and generative AI. Benefit from a comprehensive update on the host of requirements-and their wide-reaching application, as well as what to expect from the regulation’s risk-based approach to AI.

Networking Break

AI POLICY UPDATES

Marc Rotenberg
Founder and Executive Director
Center for AI and Digital Policy

IP PATENTS AND COPYRIGHT

Managing the Emergence of New AI Tools Affecting IP and Copyright Law, and the Hurdles to Obtaining Patent Rights for Invention

Stuart D. Levi
Partner
Skadden, Arps, Slate, Meagher & Flom LLP

Timothy B. Scull
Partner
Faegre Drinker Biddle & Reath LLP

David C. Vondle
Partner
Akin Gump Strauss Hauer & Feld LLP

• How AI and IP Protection can collide
• Overcoming the newest obstacles to obtaining patent rights for invention
• Determining if patent protection is available/not
• Identifying aspects of AI technology that are not protectable
• Ensuring patent rights that are enforceable
• Clarifying the legal risks of using of AI created content, including infringement of third party rights
• Determining how you can enforce your copyright against AI models

Chairs’ Closing Remarks