📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of Building Ethical AI in Organizations, from foundations to a certified capstone project.
Outline
Explore the core values and global norms of Ethical AI • Identify common ethical challenges in AI systems • Discuss human rights, justice, and autonomy in AI contexts
Outline
Translate ethical principles into organizational policies • Avoid ethics washing and empty frameworks • Apply ethics in product lifecycle: design, development, and deployment
Outline
Define roles and responsibilities for ethics leads, review boards, and committees • Create cross-functional ethics teams • Integrate ethics into product development and ML Ops
Outline
Conduct impact assessments for algorithmic, human rights, and environmental aspects • Apply transparency and explainability in practice • Utilize auditing, monitoring, and documentation tools
Outline
Manage incidents and red flags in AI systems • Establish whistleblower protections and ethical dissent channels • Report to leadership, boards, and the public
Outline
Shape organizational culture around responsible innovation • Communicate ethical commitments to stakeholders • Develop metrics, KPIs, and incentives for ethical performance
Earn government-registered certification in Building Ethical AI in Organizations
e-Certificate and e-Marksheet issued on successful completion.
