AI Literacy Essentials: How GenAI Works + What It Gets Wrong

AI Literacy Essentials introduces how large language models process and generate content, covering neural network architecture and training processes. Students will learn to identify AI limitations including hallucinations, bias, and reasoning failures, developing a balanced perspective on when to leverage these tools effectively.

Artificial Intelligence is rapidly transforming how we work, communicate, learn, and make decisions. But despite the growing use of ChatGPT, Copilot, Gemini, and other AI systems, many professionals still misunderstand how generative AI actually works — and more importantly, where it fails.

This webinar provides a practical, beginner-friendly explanation of Generative AI (GenAI), including how large language models generate responses, why AI sounds so confident, and the common mistakes these systems make such as hallucinations, misinformation, bias, and overconfidence.

Participants will learn how to use AI tools responsibly, critically evaluate AI-generated content, and understand the risks associated with relying too heavily on automated systems.

This session is designed for professionals, educators, managers, students, compliance teams, and anyone seeking essential AI literacy skills in today’s AI-driven environment.

Areas Covered in the Webinar

Introduction to Generative AI
  • What Generative AI actually means
  • Difference between AI, Machine Learning, and GenAI
  • Popular AI tools and platforms
  • Why AI literacy matters today

How GenAI Works

  • Training data and pattern learning
  • Tokens and prediction models
  • Large Language Models explained simply
  • Why AI generates human-like responses
  • Understanding prompts and outputs

What AI Gets Wrong

  • AI hallucinations
  • Fabricated facts and fake citations
  • Bias in AI systems
  • Outdated or incomplete knowledge
  • Overconfidence and misinformation risks

Human vs AI Intelligence

  • Why AI does not “think” like humans
  • Pattern prediction vs reasoning
  • The limits of AI understanding
  • Why human oversight still matters

Responsible AI Usage

  • Best practices for using AI safely
  • Fact-checking AI outputs
  • Protecting sensitive information
  • Ethical considerations
  • Transparency and accountability

Practical Prompting Techniques

  • Writing better prompts
  • Improving AI-generated responses
  • Using context effectively
  • Common prompting mistakes

Learning Objectives

By attending this webinar, participants will learn:

  • How Generative AI systems function
  • Why AI tools sometimes generate incorrect information
  • The major limitations and risks of GenAI
  • How to critically evaluate AI-generated content
  • Best practices for responsible AI use
  • How to improve results through effective prompting

Who Should Attend?

This webinar will benefit:

  • Business professionals
  • Managers and team leaders
  • HR professionals
  • Educators and trainers
  • Compliance professionals
  • Students and researchers
  • Marketing teams
  • Customer service professionals
  • Technology beginners
  • Anyone using AI tools in daily work

*Recorded webinar will be send to customer within the 2 working days after the Lve Webinar.

*For more than 6 attendee mail us to support@evothought.com

JJ Smith