Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Module 1: Foundations of Artificial Intelligence Ethics
• 1.1 Defining AI Ethics: Core concepts, scope, and relevance to public sector operations.
• 1.2 Historical Perspective: The development of ethical standards within technological innovation.
• 1.3 Ethical Frameworks: Foundational theories and models applicable to artificial intelligence systems for government
Module 2: Identifying Ethical Risks in AI
• 2.1 Bias and Fairness: Methods for detecting and mitigating bias in algorithmic decision-making.
• 2.2 Transparency and Explainability: Ensuring AI systems are interpretable and accountable to the public.
• 2.3 Privacy and Data Protection: Strategies for securing sensitive data within AI applications.
• 2.4 Accountability and Responsibility: Defining roles and duties in the lifecycle of AI operations.
Module 3: Regulatory and Compliance Landscape
• 3.1 Global Regulations: An overview of international standards governing artificial intelligence.
• 3.2 Compliance Strategies: Establishing robust compliance frameworks for AI systems for government
• 3.3 Ethical Auditing: Procedures for conducting comprehensive ethical assessments of AI technologies.
Module 4: Developing an Ethical AI Strategy
• 4.1 Ethical AI Roadmap: Designing a strategic plan for the responsible implementation of AI.
• 4.2 Policy Development: Drafting policies and guidelines to govern ethical AI usage.
• 4.3 Stakeholder Engagement: Facilitating dialogue with stakeholders on ethical AI considerations.
Module 5: Fostering an Ethical AI Culture
• 5.1 Leadership and Governance: Assigning executive oversight for AI ethics initiatives.
• 5.2 Training and Awareness: Implementing educational programs to promote ethical AI proficiency.
• 5.3 Ethical Decision-Making: Integrating ethical principles into operational workflows and processes for government
Module 6: Case Studies and Real-World Applications
• 6.1 Industry Analysis: Examining practical examples of compliant and non-compliant AI deployments.
• 6.2 Key Takeaways: Lessons derived from successful and unsuccessful ethical AI efforts.
• 6.3 Scenario Analysis: Interactive exercises to apply ethical frameworks in simulated environments.
Module 7: Emerging Trends and Future Directions
• 7.1 Technological Advances: Assessing the impact of new AI developments on ethical standards.
• 7.2 Future Challenges: Anticipating emerging ethical issues associated with artificial intelligence.
• 7.3 Strategic Preparation: Approaches to maintaining leadership in ethical AI governance.
Requirements
Intended Participants
This curriculum is designed primarily for Chief Executive Officers and senior leadership personnel responsible for risk management and compliance functions, particularly those serving in roles for government or public sector entities.
21 Hours
Testimonials (1)
basics and loved the prepared documents and exercises
