Build practical expertise in AI ethics, governance, compliance, auditing, and risk management.
Learn to evaluate responsible AI systems while strengthening organizational accountability, regulatory readiness, and resilience.
This Specialization connects executive leadership, corporate governance, legal and regulatory compliance, ethical AI auditing, and broader social risk management. You'll examine how governance structures, organizational culture, board oversight, and ethical decision-making influence business performance and responsible technology adoption.
Explore privacy, cybersecurity, financial crime, corporate liability, and regulatory risk before examining AI systems for algorithmic bias, fairness, explainability, security, and accountability. Apply concepts such as bias mitigation, SHAP, LIME, differential privacy, federated learning, model validation, and continuous monitoring.
You'll also investigate how AI-related risks interact with environmental pressures, economic inequality, public welfare, geopolitical instability, and long-term societal resilience.
By completing the Specialization, you'll be prepared to evaluate governance and AI risks and recommend responsible strategies that balance innovation, compliance, accountability, and sustainable organizational performance.
Applied Learning Project
Through practical, scenario-based projects, learners will evaluate corporate governance structures, identify regulatory and compliance gaps, assess AI models for bias, fairness, explainability, privacy, and security, and develop responsible AI risk mitigation strategies. Learners will apply these skills to realistic organizational challenges, including ethical decision-making, AI auditing, regulatory accountability, and managing interconnected societal risks to strengthen governance and long-term resilience.
