Wednesday, October 9, 2024

Time (EDT) Activity
7:30 – 8:30 AM Breakfast & Networking
8:30 – 8:45 AM Opening Comments from Task Force Chair
8:45 – 9:45 AM Session 1 AI Systems & Implementation
From Policy to Practice: Governing AI Alignment Across the CE/T Industry
Bradley Davis, BRMP
9:45 – 10:00 AM Break / Coffee
10:00 – 11:00 AM Session 2 Organizational AI Governance
Navigating Innovation: Exploring the Evolving Landscape of AI Governance
Delaney King and Sarah Bell
11:15 – 12:30 PM Lunch & Networking
12:30 – 1:30 PM Session 3 AI Ethics and Bias Mitigation
AI Ethics & Bias Mitigation: Governing the New Age of Intelligent Systems
Ameena Elahi, CIIP, RT, MPA
1:30 – 1:45 PM Break
1:45 – 2:45 PM Session 4 AI Application in CE/T
Top 10 Prompt Strategies for Large Language Models: Unlocking Productivity and Creativity with ChatGPT, Gemini, and Claude
Josh Cavalier
2:45 – 3:00 PM Break
3:00 – 4:00 PM Session 5 (Industry Panel)
4:15 – 4:30 PM Break
4:30 – 5:15 PM Session 6 (Call to Action – AI Alignment)
5:15 – 5:30 PM Conference Close
Notes

1 All times are in Eastern Daylight Savings Time Zone (UTC-4).

Session 1: From Policy to Practice: Governing AI Alignment Across the CE/T Industry

Focus: AI Systems & Implementation

Themes: Regulatory Alignment | AI Standards and Governance | Leadership Implications

Description

Few innovations in the continuing education and training ecosystem have had the same impact as generative artificial intelligence. Crossing fields, industries, and our personal-professional boundaries, generative AI has amplified the speed at which individuals can research, create, standardize, and market their goods and services.

Unfortunately, for every step forward we’ve taken in implementing machine learning to improve our daily lives, instability and concern about governing regulation have matched pace.

Join us for the opening session of IACET’s AI Symposium, where we’ll explore the global landscape of the latest training disruption, find opportunities and synergies within the cross-industry standard landscape, and explore how organizational leadership — particularly those in the talent and training functions — can implement AI for augmented training success.

Objectives
  1. Identify how AI can be effectively governed within regulatory frameworks and through the establishment of internal policies.
  2. Analyze the relationship between existing AI Standards and the need for governance in CE/T programs.
  3. Discuss the role of leadership in determining appropriate solutions, management, and control of AI systems.
Facilitator
Headshot of Bradley Davis Bradley Davis
Director, Content and Training Development
IACET
Bio

Session 2: Navigating Innovation: Exploring the Evolving Landscape of AI Governance

Focus: Organizational AI Governance

Themes: Internal Policies and Processes | Continuous Improvement | Cybersecurity Considerations

Description

As artificial intelligence (AI) continues to revolutionize industries and transform our digital landscape, the need for effective governance and robust cybersecurity measures has become increasingly paramount. This session will explore how organizations can navigate the complex interplay between AI, regulatory frameworks, and internal policies to ensure responsible and secure deployment of these transformative technologies.

Objectives
  1. Adapt internal requirements to the growing body of international AI Regulations and Oversight Legislation, empowering providers to pivot and anticipate changes to the landscape
  2. Identify quality and continuous improvement system considerations for AI.
  3. Promote organization-wide cybersecurity best practices consistent with the parallel rise of AI-enhanced cybercrime.
Facilitators
Headshot of Delaney King Delaney King
Owner
Voyageur Communications
Bio
Headshot of Sarah Bell Sarah Bell
Head of Learning & Development
SES Satellites
Bio

Session 3: AI Ethics & Bias Mitigation: Governing the New Age of Intelligent Systems

Focus: AI Ethics and Bias Mitigation

Themes: User and IP Confidentiality | Unconscious Data Bias | Relationship between CE/T Policies and AI

Description

In the rapidly evolving landscape of artificial intelligence, integrating ethical considerations and bias mitigation is paramount to ensuring equitable and effective outcomes. This talk delves into the critical aspects of AI deployment in healthcare and other sectors, emphasizing the importance of ethical governance, bias detection, and regulatory compliance.

Through this talk, participants will gain a comprehensive understanding of the ethical challenges and bias issues inherent in AI technologies. They will also learn practical approaches to governance, bias mitigation, and regulatory adherence, empowering them to contribute to the development of ethical and unbiased AI systems. This session is designed for professionals across sectors involved in designing, implementing, and regulating AI technologies, providing them with the tools and knowledge needed to navigate the complexities of AI ethics and bias mitigation.

Objectives
  1. Identify the potential for conscious and unconscious bias through AI datasets and prompt application.
  2. Correlate the relationship between AI Regulations, AI Ethics, and Provider Intellectual Property Considerations.
  3. Explore strategies and frameworks for Implementing Ethical AI Practices in Organizational Settings.
Facilitator
Headshot of Ameena Elahi Ameenah Elahi, CIIP, RT, MPA
Application Manager
Penn Medicine
Bio

Session 4: Top 10 Prompt Strategies for Large Language Models: Unlocking Productivity and Creativity with ChatGPT, Gemini, and Claude

Focus: AI Application in CE/T

Themes: AI Usability in CE/T | Prompt Engineering | Needs Analysis and Assessment

Description

In this engaging session, "Top 10 Prompt Strategies for Large Language Models: Unlocking Productivity and Creativity with ChatGPT, Gemini, and Claude," you will delve into the transformative world of generative AI tools. This session is designed to provide practical insights and actionable strategies that can be implemented immediately to enhance the quality and effectiveness of your interactions with large language models. We will begin by exploring the mechanics behind how these models process words, offering a deep dive into the natural language processing (NLP) techniques that underpin their impressive capabilities. By understanding these fundamentals, you will gain the knowledge needed to optimize your prompts for more accurate and insightful responses. Next, we will showcase ten proven prompt strategies that can significantly boost your creativity and productivity. Through practical examples, you will see how these strategies can be applied across various scenarios and industries, demonstrating the versatility and power of AI in real-world applications. Finally, we will guide you through the process of crafting simple, yet highly effective prompts using three key elements. This segment will align with ANSI/IACET standards, emphasizing the importance of clarity and precision in prompt engineering to support continuous innovation and improvement in your AI practices.

Objectives
  1. Explore how understanding the processing of words through large language models can improve prompt formulation and response accuracy.
  2. Demonstrate ten prompt strategies to increase creativity and productivity, showcasing practical applications in various sectors.
  3. Learn how to create simple, effective prompts using three key prompt elements, aligning with ANSI/IACET standards to support continuous innovation and improvement.
Facilitator
Headshot of Josh Cavalier Josh Cavalier
Founder & CEO
Josh Cavalier.ai
Bio

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