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Duration 21 hours
Course Outline
Module 1: Introduction to AI Ethics for Government
• 1.1 Defining AI Ethics: Definitions, scope, and critical importance in public sector operations.
• 1.2 Historical Perspectives: The evolution of ethical standards in technology governance.
• 1.3 Ethical Frameworks: Core theoretical models and structures applicable to government AI initiatives.
Module 2: Identifying Ethical Risks in AI Systems
• 2.1 Bias and Fairness: Strategies for identifying and mitigating algorithmic bias.
• 2.2 Transparency and Explainability: Ensuring AI systems are comprehensible and open to public scrutiny.
• 2.3 Privacy and Data Security: Protecting citizen data privacy in AI deployments.
• 2.4 Accountability: Establishing clear lines of responsibility in AI operations.
Module 3: Regulatory Environment and Compliance
• 3.1 Global Regulatory Landscape: Summary of international AI regulations and standards.
• 3.2 Compliance Frameworks: Implementing robust compliance mechanisms for government AI.
• 3.3 Ethical Auditing: Procedures for conducting rigorous ethical assessments of AI systems.
Module 4: Formulating an Ethical AI Strategy
• 4.1 Strategic Roadmap: Designing a plan for ethical AI adoption in the public sector.
• 4.2 Policy Formulation: Drafting guidelines and policies for responsible AI use for government.
• 4.3 Stakeholder Collaboration: Engaging diverse stakeholders in ethical AI governance.
Module 5: Cultivating an Ethical AI Environment
• 5.1 Leadership and Oversight: Defining executive roles in AI ethics oversight.
• 5.2 Education and Awareness: Developing training programs for ethical AI practices.
• 5.3 Ethical Decision-Making: Integrating ethical principles into operational decision-making processes.
Module 6: Case Studies and Practical Applications
• 6.1 Sector Analysis: Examining real-world examples of ethical and unethical AI usage.
• 6.2 Operational Insights: Key lessons from successful and unsuccessful AI ethics initiatives.
• 6.3 Scenario Evaluation: Practical scenarios for applying ethical principles in AI contexts.
Module 7: Emerging Trends and Future Trajectories
• 7.1 Technological Evolution: Assessing the ethical implications of advancing AI technologies.
• 7.2 Future Challenges: Proactively addressing potential ethical issues in AI.
• 7.3 Future Readiness: Strategies for maintaining leadership in ethical AI governance.
Requirements
Target Audience
This course is designed primarily for Chief Executives and Senior Leaders involved in Risk and Compliance functions.
Testimonials (1)
basics and loved the prepared documents and exercises
