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 TechnologiesKey Ethical Challenges: Bias, Transparency, Privacy, and FairnessReal-World Failures: Hiring, Facial Recognition, and LendingEthical Risk Mitigation: Theory and PracticeTransparency, Explainability, and Public TrustFairness in Automated Decision-MakingCorporate Responsibility and Leadership in AI GovernanceRegulation, Compliance, and the Global Legal LandscapeWhat You’ll Gain from This Course:A foundational, non-technical understanding of AI ethicsThe ability to analyze and discuss real ethical dilemmas in AIInsight into the societal impact of AI systemsFamiliarity with governance models, regulatory trends, and business responsibilityA framework for applying ethical thinking to future AI challengesPerfect for decision-makers, academics, students, and ethically minded professionals.This course contains a promotion.