Foundations of Responsible AI for Executives


Course Number: AI-154WA
Duration: 1 day (6.5 hours)
Format: Live, hands-on

Responsible AI Training Overview

This Responsible AI training course is tailored for executives and directors seeking a high-level understanding of AI systems, responsible AI, and AI risk management. The course explores management-specific topics such as prioritizing AI risks and quantifying ROI for AI systems. Learners gain hands-on experience with the NIST AI Risk Management Framework and practice issue spotting using industry-specific examples.

Location and Pricing

Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.

In addition, some courses are available as live, instructor-led training from one of our partners.

Objectives

  • Understand the potential harms posed by AI systems
  • Comprehend the challenges of AI risk management
  • Learn the lifecycle and critical dimensions of AI systems
  • Develop strategies to avoid, reduce, transfer, diversify, and mitigate AI risk
  • Explore potential legislation and the future of responsible AI

Prerequisites

No prior experience is required.

Outline

Expand All | Collapse All

Foundations of Artificial intelligence
  • What is intelligence, AI, and Generative AI?
  • Traditional AI, Machine Learning, and Deep Learning
  • Generative AI, Prompt Engineering, and Retrieval Augmented Generation
Introduction to AI Systems and AI Project Management
  • The AI System Lifecycle
  • Common AI Actors
  • Challenges of AI Project Management
  • Quantifying ROI on AI Systems
Understanding AI Risks and AI Risk Management
  • What is “Responsible” AI?
  • AI Risks vs. Traditional Software Risks
  • Challenges & Strategies for AI Risks Management
  • Generative AI Risks & Mitigations
  • Generative AI Cybersecurity Threat Vectors
Governing Responsible AI
  • What makes AI “Responsible” and “Trustworthy”?
  • Policies, processes, procedures, and practices
  • Accountability structures
  • Diverse Input
  • Culture & Communication
  • Engagement Processes
  • Policies and Procedures
  • Contingency Plans
Conclusion
  • Issue Spotting
  • Regulations and Legislation (Tailored per Industry)

Training Materials

All students receive comprehensive courseware.

Software Requirements

All attendees must have a modern web browser and an Internet connection.



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Satisfaction guarantee

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Multiple Payment Options

We accept check, ACH/EFT, major credit cards, and most purchase orders



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