Data Ethics and Governance for Responsible AI
About This Course
This course examines the significance of digital ethics within enterprise environments, which focuses on data ethics and artificial intelligence (AI) ethics. It presents foundational ethical principles, such as fairness, accountability, transparency, privacy, inclusivity, and sustainability. Furthermore, this course analyses their relevance to prevalent data and AI-driven applications.
In addition, this course addresses core elements of data governance, encompassing data quality, security, and privacy. It evaluates the use of established AI governance frameworks to promote explainability, responsibility, accountability, and trustworthiness in the design, development and deployment of AI solutions.
What You'll Learn
(i) Explain the strategic importance of data ethics in enterprise AI adoption.
(ii) Interpret and apply relevant regulatory and governance frameworks (e.g., General Data Protection Regulation - GDPR, Personal Data Protection Act - PDPA, etc).
(iii) Identify and evaluate key data governance practices (data quality, security, privacy, metadata, master data) that support AI-ready data.
(iv) Analyse ethical issues in AI systems and propose mitigation strategies aligned with responsible AI principles (fairness, transparency, accountability, human oversight).
(v) Apply existing AI governance frameworks (e.g., Singapore Model AI Governance Framework) in enterprise setting.
Entry Requirements
· General Diploma
· Knowledge of basic cybersecurity acts and cybersecurity concepts