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Schedule
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) |
| 9:45 – 10:00 AM | Break / Coffee |
| 10:00 – 11:00 AM | Session 2 (Organizational AI Governance) |
| 11:15 – 12:30 PM | Lunch & Networking |
| 12:30 – 1:30 PM | Session 3 (Security & Bias Mitigation) |
| 1:30 – 1:45 PM | Break |
| 1:45 – 2:45 PM | Session 4 (AI Usability in CE/T) |
| 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 Details
Session 1: AI Systems & Implementation
Standards Alignment | Platform and Applications | Organizational Leadership
Objectives:
- Analyze the relationship between existing AI Standards and the need for governance in CE/T programs.
- Identify quality and continuous improvement system considerations for AI.
- Discuss the role of leadership in determining appropriate solutions, management, and control of AI systems.
Session 2: Organizational AI Governance
Regulatory Alignment | Internal Policies and Processes | Risk Management | Cybersecurity Considerations
Objectives:
- Identify how AI can be effectively governed within regulatory frameworks and through the establishment of internal policies.
- Adapt internal requirements to the growing body of international AI Regulations and Oversight Legislation, empowering providers to pivot and anticipate changes to the landscape.
- Promote organization-wide cybersecurity best practices consistent with the parallel rise of AI-enhanced cybercrime.
Session 3: AI Ethics & Bias Mitigation
User and IP Confidentiality | Cybersecurity Adjustment | Unconscious Data Bias in Data Sets
Objectives:
- Identify the potential for conscious and unconscious bias through AI datasets and prompt application.
- Correlate the relationship between AI Regulations, AI Ethics, and Provider Intellectual Property Considerations.
- Correlate the relationship between CE/T Policies as endorsed through the ANSI/IACET Standard and the growing need for AP’s Internal AI Guidelines.
Session 4: AI Application in CE/T
AI Usability | Prompt Engineering | Needs Analysis | Assessment
Objectives:
- Discuss methods for enhancing AI’s adaptability and effectiveness in real-world application.
- Apply Generative AI best practices across multiple industries and fields of study to increase the quality of language model tools.
- Demonstrate ANSI/IACET Standard-aligned Prompt Engineering in support of Accredited Provider’s ongoing innovations.