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Managing AI Risks: 8 Common Mistakes to Avoid at Work

Managing AI Risks: 8 Common Mistakes to Avoid at Work

57mBeginner2026-01-30

Authors

Soribel Feliz

Soribel Feliz

Course details

What is this course about?
Learn eight of the most costly AI mistakes professionals make—as well as strategies for how to avoid them. Join Soribel Feliz as she shows you how to avoid some of the most common AI mistakes people make at work, from data privacy missteps to biased decision-making. Whether you're creating content, managing teams, or making strategic decisions about your company's future, this course equips you with strategic awareness and practical tools to stay compliant, protect your reputation, and lead with confidence.

Instructor
Who teaches this course?
Soribel Feliz is an AI governance consultant for regulated industries, and a former AI Governance Policy Advisor for the US Department of Homeland Security. She has built AI governance across the US Department of Homeland Security, the US Senate, Meta, Microsoft, and mission-driven organizations.

Objectives
What will I be able to do by the end of this course?
Identify some of the most common AI risks that affect both individuals and organizations and assess your current exposure to these risks.
Implement specific safeguards to protect sensitive information when using AI tools in both personal and professional contexts.
Recognize warning signs of problematic AI outputs and apply verification techniques to ensure accuracy and appropriateness.
Establish practical AI usage boundaries that balance productivity benefits with risk management.
Create action plans for both individual AI safety practices and workplace AI governance.

Audience
Who is this course for?
General, nontechnical users
Professionals involved in content creation
Team managers and leaders
Individuals making strategic decisions in organizations

Prerequisites
What do I need to know before taking this course?
Basic understanding of AI concepts and functionality
Familiarity with workplace technology and data management systems
No advanced technical background required

Concepts

Introduction

  • The hidden risks of AI in the workplace

Common AI Mistakes to Avoid at Work

  • Inputting confidential data into public AI tools
  • Recording meetings with AI without consent
  • Trusting AI outputs without verification
  • Using AI for high-stakes decisions without human oversight
  • Overlooking AI bias in hiring and management
  • Allowing harmful stereotypes in AI responses
  • Using AI-generated content that breaches copyright
  • Implementing AI tools without governance

Conclusion

  • Responsible AI use

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