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