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The Complete Ethical AI Use in Business
Role Play
Rating: 4.7 out of 5(12 ratings)
258 students

The Complete Ethical AI Use in Business

Apply AI with integrity balancing innovation with fairness, transparency, and accountability
Last updated 12/2025
English

What you'll learn

  • Understand how AI differs from traditional technologies in terms of decision-making and risk
  • Analyze real-world AI failures and their impact on individuals and organizations
  • Build responsible, fair, and explainable AI workflows
  • Recognize how ethical AI can drive brand trust and competitive advantage
  • Apply risk management practices for safe, sustainable AI deployment

Course content

6 sections22 lectures1h 4m total length
  • Introduction to the Course3:21

    Explore the core ethical challenges of using AI in business—and learn how to respond with responsibility, fairness, and compliance

  • What Makes AI Different From Traditional Technologies3:02

    AI learns and adapts from data—unlike traditional tech, it evolves, making it powerful but harder to predict or control

  • Key Ethical Concerns Bias Discrimination Lack of Transparency Data Privacy2:59

    Understand how AI can introduce bias, cause discrimination, obscure decision-making, and risk user privacy—and how to respond ethically

  • Examples of Real World Failures Hiring Bias3:02

    See how AI led to biased hiring, wrongful facial recognition, and unfair lending—real cases with real consequences

  • How to Study on Udemy Effectively?2:15

    In this lesson, we'll walk you through the Udemy interface and show you how to get the most from your studies.

  • Getting Your Own Practical Companion1:40

    In this lesson, you'll get your own AI companion: the book "AI for Business".

Requirements

  • Basic familiarity with business or tech concepts is helpful but not essential
  • Access to a computer or mobile device with internet connection

Description

This course contains the use of artificial intelligence.


As artificial intelligence becomes embedded in everyday business decisions, the ethical implications grow more urgent. This course offers a clear, theory-based exploration of the key ethical, social, and regulatory questions surrounding AI in the business world.

Designed for non-technical professionals, this course will help you understand how and why AI systems raise concerns—from bias and discrimination to transparency and data privacy. You’ll analyze real-world failures, explore frameworks for responsible governance, and consider how ethical AI can support long-term brand trust and compliance.

Whether you're a leader, policymaker, student, or just AI-curious, this course will give you a structured understanding of how to think about, critique, and guide the ethical use of AI in any organization.


Course Modules Include:

  • What Makes AI Different from Traditional Technologies

  • Key Ethical Challenges: Bias, Transparency, Privacy, and Fairness

  • Real-World Failures: Hiring, Facial Recognition, and Lending

  • Ethical Risk Mitigation: Theory and Practice

  • Transparency, Explainability, and Public Trust

  • Fairness in Automated Decision-Making

  • Corporate Responsibility and Leadership in AI Governance

  • Regulation, Compliance, and the Global Legal Landscape


What You’ll Gain from This Course:

  • A foundational, non-technical understanding of AI ethics

  • The ability to analyze and discuss real ethical dilemmas in AI

  • Insight into the societal impact of AI systems

  • Familiarity with governance models, regulatory trends, and business responsibility

  • A framework for applying ethical thinking to future AI challenges


Ready to lead with purpose in the AI era?

Enroll now and start building the mindset, knowledge, and confidence to guide your team—and your vision—into the future.

This course contains a promotion

Who this course is for:

  • Business professionals seeking to understand AI ethics
  • Tech leaders, product managers, and developers working with AI tools
  • Compliance officers and legal advisors focused on AI regulation
  • Students or lifelong learners interested in ethical technology
  • Anyone aiming to apply AI responsibly in real-world business settings