AI Law, Ethics, Safety & Compliance

The U.S. approach to artificial intelligence (AI) policy is undergoing a dramatic transformation. With the transition from the Biden to the Trump Administration, we’re witnessing a sharp shift in strategy, and regulatory philosophy that has significant implications for legal professionals, policymakers, and businesses deploying AI. During this session, attendees will gain key updates on the current U.S. AI policy landscape, the regulatory shifts taking place at the federal and state levels, and practical guidance for navigating legal and ethical complexities as AI technologies are adopted.

In this first of four strategy sessions, gain real-world insights and strategies for creating and deploying a comprehensive action plan. These “hands on” sessions will provide you with a tangible, actionable blueprint for developing and implementing an effective AI strategy in practice. To jumpstart the conversation, attendees will be prompted to answer anonymous polling questions in advance of the conference, with the results revealed by the speakers at the outset of this session.

• Operationalizing AI governance without quashing creativity
• Proactively scaling and deploying AI ethics at speed
• Turning compliance into competitive advantage with engagement
• Enhancing data quality and security
• Ensuring robust governance frameworks with explicit access controls and audits trails
• Building stakeholder trust
• Driving operational efficiency

Spark sessions are 15 minutes of focused discussion on practical solutions to complex challenges faced by the AI operationalization and governance community.

• Embracing evolving technology while implementing proactive safeguards
• Strategies for reducing potential risk of deep fakes and generative AI
• Discussing the technical nuances within Generative AI that can lead to the proliferation of deep fakes
• Practical strategies to combat disinformation and ways governance and regulatory mandates are impactful

Building on our first strategy session, through interactive conversations with discussion leaders, participants will gain insights and strategies to continue building an action plan that provides tactical and strategic steps to operationalize AI. In this second of four strategy sessions, participants will gain real-world insights and strategies for creating and deploying an action plan. These four strategy sessions will provide audience members with a tangible, actionable blueprint for developing and implementing an effective AI strategy in practice.

Attendees will first be prompted to answer anonymous polling questions in advance of the conference, with the results revealed by the speakers at the outset of this session.

In this session, we will look at the optimal conditions needed for AI to flourish and how to build it based on your unique organizational needs and goals to empower your AI environment.

• Eliminating Bias: Ensuring fair and equitable use of AI
• Ethical AI: Doing the right thing without rules and regulations
• Training data algorithms to: make better decisions, increase efficiency and predict trends and behavior
• Responsible AI: Determining the proper balance of people and technology
• Transparent Decision-Making: Strengthening stakeholder confidence and gaining regulatory compliance

• How states are responding to the rescission of the AI Executive Order at the federal level
• Navigating pending state regulations
• Assessing the direction of the current public/private partnership with the focus on innovation

ChatGPT, Co-Pilot and similar tools are known for their ability to create human-like text. In this session, we will look at the governance and trust concerns in the use of this technology.

Topics will include:

• Navigating complex topics where security and reliability are essential
• Routing to the right AI tools to answer sensitive questions
• Implementing strict restrictions of permitted responses

Join this early riser breakfast session, where we look at how AI is being operationalized beyond the pilot phase. We will explore strategies for scaling AI initiatives, measuring performance and demonstrating real productivity gains. We will also discuss how organizations are maturing their AI capabilities and adapting to the evolving regulatory and economic environment.

• Has the legal uncertainty been addressed through a common set of rules?
• Understanding the implications of personal privacy as a fundamental right in the EU
• Developing the Codes of Practice, creating rules governing risk assessments, risk management and model evaluation
• Ensuring your organization is prepared as the EU AI Act continues to roll out
• Navigating roles and responsibilities within the AI supply chain based on the EU AI Act
• Discussing the interconnection of GDPR transparency requirements with similar obligations in the EU AI Act, individual vs collective rights

Building on our previous strategy sessions, through interactive conversations with discussion leaders, participants will continue building an actionable blueprint for operationalizing AI. To jumpstart the conversation, attendees will be prompted to answer anonymous polling questions in advance of the conference, with the results revealed by the speakers at the outset of this session.

In this session, we will look at assessing the reliability of data utilized in algorithms. Topics will include:

• Enhancing best practices for improvement of AI algorithms and bias reduction
• Ensuring fair, reasonable and accurate AI testing methods
• Navigating legal, ethical and compliance impacts

• New enforcement activity connected to the deceptive use of AI, including the FTC Operation AI Comply
• Impact of AI on Copyright and Intellectual Property protections
• Exploring algorithm discrimination cases
• The risks of using of agentic AI in potentially redefining the practice of law—drafting contracts, negotiations, managing compliance

Spark sessions are 15 minutes of information tailored to deliver practical solutions to complex challenges faced by the AI operationalization and governance community.

• Baking compliance into the creation of technology development
• Facilitating communications between technology and compliance teams
• Developing controls to ensure systems remain within the legal boundaries for the jurisdiction where they are utilized
• Keeping pace with evolving technology

Join your peers and share insights and best practices unique to your sector with industry-specific benchmarking during lunch or gain insights of what is and is not working from an industry where you would like to gain more practical knowledge. We will have industry specific signs at each table:

• Technology
• Financial Services
• Life Sciences
• Cross-Industry
• Insurance and Reinsurance
• Aerospace & Defense

Building on our previous strategy sessions, through interactive conversations with discussion leaders, participants will gain insights and strategies to create an action plan that provides tactical and strategic steps to operationalize AI. In this last of four strategy sessions, participants will gain real-world insights and strategies for creating and deploying an action plan. These four strategy sessions will provide audience members with a tangible, actionable blueprint for developing and implementing an effective AI strategy in practice.

To jump start the conversation, attendees will be prompted to answer anonymous polling questions in advance of the conference, with the results revealed by the speakers at the outset of this session.

In this session, we will look at privacy, data and cyber security considerations.

• Safeguarding users from harmful AI while ensuring access to advanced models
• Prioritizing cybersecurity at every level of the tech stack
• Embracing the move from safety to security
• Adapting risk management framework
• Implementing defense in depth for AI and machine learning
• Deploying proactive strategies ahead of regulation

• Developing a governance structure that encourages innovation
• Setting standards through public private partnerships
• Creating a market-based ecosystem for audit and compliance
• Adapting with evolving technological advancements
• Balancing innovation with accountability
• Implementing a third-party verification body created with industry partnership
• Developing a tiered certification system that rates AI systems based on adherence to risk mitigation guidelines
• Utilizing dashboard to monitor AI performance metrics

The revolutionary pace of AI continues which amplifies the need for human oversight. In this session, explore ways to build trust and overcome bias.

Explore ways to use AI to generate new business, gather insurance quotes, find discrepancies and suggest premiums