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Critical Thinking:
Navigating AI with
a Critical Mindset

Empowering Human Intelligence in the Age of AI

Course Overview

This program focuses on developing critical thinking skills in the context of Artificial Intelligence. The first part of the program introduces the concept of critical thinking and its significance in an AI-driven workplace. Participants will be encouraged to reflect on their own critical thinking abilities and understand its role in interacting with AI.  This section also explores ethical considerations in AI, such as bias, privacy, and accountability. Participants will discuss ethical dilemmas and learn the importance of ethical decision-making when using AI.

The second part of the program focuses on practical applications of critical thinking in AI. Participants will analyze case studies to identify and address AI bias, and engage in group debates to evaluate different perspectives on ethical issues. They will learn strategies for integrating critical thinking into AI decision-making processes, including risk assessment and problem-solving.  Finally, participants will be introduced to tools and best practices for enhancing critical thinking when working with AI, and will develop individual action plans for applying these skills in their daily work.

 

Specific Learning Objectives Include

Define critical thinking and articulate its importance, particularly in the context of AI



Identify and analyze ethical considerations related to AI

Recognize and address bias in AI systems

Apply critical thinking skills to AI-driven decision-making

Utilize tools and best practices for enhancing critical thinking in AI

Develop an action plan for integrating critical thinking into daily AI-related tasks

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Course Outline

1. The Role of Critical Thinking in AI

  • Discussion allowing participants to share their thoughts on AI’s role in their work, setting the tone for the importance of human judgment
  • Introduce the concept of critical thinking, focusing on its significance in an AI-driven workplace
  • Participants use a digital tool to reflect on their own critical thinking abilities, followed by a poll that visualizes the group’s self-assessment



2. Critical Thinking Foundations

  • Definition and importance of critical thinking
  • The relationship between critical thinking and decision-making
  • Self-assessment on current critical thinking skills
  • Recognize the role of critical thinking in interacting with AI



 

3. Ethical Considerations in AI

  • Ethical issues related to AI (bias, privacy, accountability)
  • The importance of ethical decision-making
  • Group debate on an AI ethical dilemma
  • Understand ethical considerations when using AI

4. Bias in AI: Detection, Correction, and Prevention

  • Case Study Analysis: a real-world scenario where AI bias led to unintended consequences. Participants are divided into small groups to discuss the case and identify critical points where bias could have been detected and corrected
  • In groups, participants assume different roles (e.g., data scientist, ethics officer, manager) to debate the best course of action in addressing AI bias. This encourages perspective-taking and critical evaluation
  • Group Debrief: Each group shares their debate outcomes, followed by a facilitator-led discussion on best practices for bias detection and prevention



5. Applying Critical Thinking to AI-Driven Decisions

  • Strategies for integrating critical thinking in AI decision-making
  • Risk assessment and problem-solving with AI
  • Workshop scenario – Using critical thinking to make an AI-driven decision
  • Develop strategies for making informed decisions with AI



6. Practical Tools and Strategies

  • Tools to enhance critical thinking
  • Best practices for working with AI
  • Activity: Hands-on practice with a critical thinking tool
  • Outcome: Equip participants with tools to apply in their workplace



7. Final Reflection and Action Planning

  • Participants individually develop a detailed action plan for integrating critical thinking into their daily AI-related tasks. They’ll focus on specific scenarios where they’ll apply these skills
  • Participants share one key action they commit to taking, fostering accountability and peer support
  • Will end with an open roundtable discussion where participants can ask questions, share final thoughts, and reflect on their learnings

8. Practicing Delegation

During this session, participants will work in small groups to complete a case study to give them hands-on practice with the skills learned so far today.



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