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AI's Errors May Be Impossible to Eliminate - What That Means for Its Use in Project Management
Sneha Johnson
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Overview:
This session examines why AI hallucinations, bias, and inconsistency are structural not accidental and what that means for professionals who oversee high-stakes deliverables. We explore the difference between deterministic tools and probabilistic AI, and how to build human-in-the-loop workflows that catch AI errors before they cascade into project failures.
Why you should Attend:
AI is no longer optional in modern project environments. Yet most PM training assumes AI outputs are reliable. This session arms you with the critical lens to use AI confidently without being blindsided by its limits.
Areas Covered in the Session:
- What AI hallucination actually is and why it happens
- Why errors persist even in the most advanced models
- Risk frameworks for AI-assisted project management tasks
- Human-in-the-loop workflow design
- When NOT to use AI in critical project decisions
- Accountability and auditability standards for AI outputs
Who Will Benefit:
- Project Managers
- Program Directors
- PMO Leads
- Risk & Compliance Officers
- IT Governance Teams
- Agile Scrum Masters
Speaker Profile
Sneha Johnson is a university-level educator and professional skills trainer with a strong academic foundation and hands-on teaching experience in higher education. She holds a Bachelor of Business Administration (BBA) and a Master of Business Administration (MBA) in Tourism and Travel Management. Her training focus areas include professional communication, workplace readiness, productivity, time management, emotional intelligence, and adaptability skills that are essential for students transitioning from academic environments to professional workplaces. Sneha has hands-on experience training university students and young professionals, helping them develop discipline, focus, confidence, and performance-oriented habits. Her training style emphasizes clarity, empathy, and practical application, enabling learners to immediately implement strategies discussed during sessions. As a professor, she is experienced in delivering structured and engaging learning sessions tailored to diverse student groups. Her teaching approach integrates interactive discussions, real-life workplace scenarios, reflective activities, and guided exercises to maintain student engagement. She prioritizes learner participation, clear communication, and outcome-based learning, ensuring that students gain practical value from every session.