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Human Judgment in the Age of AI & Algorithms

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Explore how to evaluate AI outputs and make responsible decisions using human judgment
4.3
4.3/5
(8) Ratings
52 students
Created by Anton Voroniuk• 1.250.000+ Students
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What you'll learn

  • Understand how human judgment, intuition, and reasoning shape decisions
  • Recognize cognitive bias, algorithmic bias, and over-reliance on AI
  • Evaluate AI outputs by checking evidence, sources, and missing context
  • Combine data, experience, and human values in decision-making
  • Apply responsible human oversight in high-impact AI-supported situations
This course includes:
1.5 total hours on-demand video
0 articles
0 downloadable resources
33 lessons
Full lifetime access
Access on mobile and TV
Certificate of completion
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Course content

Requirements

  • No prior AI or technical experience is required
  • Basic familiarity with AI tools is helpful but not necessary
  • An interest in critical thinking and responsible decision-making is recommended
  • A computer or mobile device with internet access is required
  • A willingness to question AI outputs and consider different perspectives will help you get the most from the course

Description

This course contains the use of artificial intelligence.

Artificial intelligence is increasingly influencing decisions in business, education, healthcare, finance, hiring, and everyday life. While AI can process information quickly and generate confident recommendations, it cannot fully understand human values, context, ethics, or responsibility.

This course provides a practical framework for using human judgment effectively in an AI-driven world. You will learn how to evaluate AI-generated information, recognize bias, question assumptions, check evidence, and make responsible decisions without becoming overly dependent on algorithms.

You’ll explore how human intuition, reasoning, experience, and values work alongside AI. Through practical exercises and realistic scenarios, you will learn when to trust AI-supported insights, when to investigate further, and when human expertise should take priority.

Whether you are a manager, business professional, educator, consultant, student, or anyone using AI for decision-making, this course will help you:

Recognize cognitive bias, automation bias, and bias in AI systems

Evaluate confident AI answers for accuracy and missing context

Distinguish facts, predictions, recommendations, and AI-generated opinions

Combine data, professional experience, and human values

Apply a human-in-the-loop framework to important decisions

Use AI responsibly in hiring, finance, healthcare, education, and public services

Know when AI should not be used

Take responsibility for final decisions supported by AI

Course Modules Include:

Understanding Human Judgment in an AI-Driven World

Recognizing Human and Algorithmic Bias

Evaluating AI Outputs and Recommendations

Making Better Decisions with AI Support

Applying Human Judgment in High-Impact Situations

Building a Responsible AI Decision-Making Framework

What You’ll Gain from This Course:

A clear understanding of how AI influences human decisions

Practical techniques for evaluating AI-generated answers and recommendations

The ability to identify bias, unsupported assumptions, and missing evidence

A structured approach to combining AI insights with human judgment

Greater confidence when making complex or high-impact decisions

A personal checklist for responsible AI-supported decision-making

Strategies for building a culture of critical thinking and responsible AI use

By the end of this course, you will have a practical framework for evaluating AI outputs, applying human judgment, and making responsible decisions with confidence.

Enroll now and learn how to use AI as a decision-support tool without giving up human responsibility, critical thinking, or control.

This course contains a promotion.

Who this course is for:

  • Professionals who use AI tools to support everyday decisions
  • Managers and team leaders responsible for AI-supported outcomes
  • Business, HR, finance, education, and public-service professionals
  • Students and beginners interested in AI ethics and critical thinking
  • Anyone who wants to evaluate AI outputs more responsibly
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