Keynote Topic
AI is Evolving. AI Ethical Risk Management Must Evolve With It
As AI evolves from narrow to generative to agentic systems, organizations need a dynamic approach to ethical risk management that scales with technological complexity while enabling innovation.
AI is Evolving. AI Ethical Risk Management Must Evolve With It
The evolution from narrow to generative to agentic AI and beyond means the AI ecosystem is becoming ever more complex. The kinds of AI on offer are increasingly powerful. They can be used in increasingly many contexts. In some cases, they can engage in a series of actions in mere seconds that would take a human hours to accomplish. There is tremendous opportunity to create business value here. At the same time, the ethical, reputational, regulatory, and legal risks must be accounted for. And as AI becomes more complex, AI risk management strategies need to keep up with the pace. In this engaging talk to executives, Reid explains the evolution of AI and how standard risk management practices must be updated so the potential of AI can be unlocked safely. Leaders leave the session with clear steps on how to assess their organization’s current AI risk posture and how to update it to meet the AI innovation imperative. In a second version of this talk, for all mployees across all departments and functions, Reid addresses anyone who uses AI or or oversees people using AI within the organization. Employees leave with an understanding of the different technologies they will interact with on a daily basis and how to use those tools effectively and safely.As AI evolves from narrow to generative to agentic systems, organizations need a dynamic approach to ethical risk management that scales with technological complexity while enabling innovation.
Key Benefits
For Executive Audience
- Understand the critical differences between narrow, generative, and agentic AI technologies and their unique risk profiles
- Learn a practical framework for assessing your organization’s current AI risk management posture
- Discover how to update governance structures to address emerging AI capabilities without creating innovation bottlenecks
- Gain strategic insights on balancing AI advancement with appropriate risk controls
- Leave with an actionable roadmap for implementing adaptive AI risk management across the enterprise
For Employee Audience
- Gain clarity on the different AI technologies you’ll encounter in your daily work
- Understand what makes newer AI systems different from traditional tools
- Learn practical strategies for using AI effectively while minimizing risks
- Develop confidence in identifying when an AI application might be moving into riskier territory
- Acquire a toolkit of best practices for safe AI use applicable to your specific role
Audience
Appropriate Executive Audience
- C-suite executives and Board members
- Chief Risk Officers and enterprise risk management teams
- Chief Information/Technology Officers overseeing AI implementation
- Innovation leaders balancing technological advancement with governance
- Legal and compliance executives concerned with emerging AI regulations
- Business unit leaders responsible for AI implementation decisions
Appropriate Employee Audience
- Knowledge workers using AI tools in their daily tasks
- Department managers overseeing teams using AI applications
- Project managers implementing AI-enhanced workflows
- Non-technical professionals wanting to use AI safely and effectively
- Employees across all functions who interact with or oversee AI use
- New hires entering organizations with significant AI integration
Event Formats
- 60-minute keynote presentation with compelling case studies and clear visuals
- Interactive demonstration of risk scenarios using real-world examples
- 20-minute moderated Q&A addressing specific organizational concerns
- Optional executive workshop component for developing customized risk frameworks
- Takeaway materials including assessment tools and governance templates
- Follow-up resources for continued learning and implementation