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Duration 21 hours
Course Outline
Module 1: Introduction to AI Ethics
• 1.1 Foundamentals of AI Ethics: Defining the scope, significance, and core definitions.
• 1.2 Historical Perspective: Tracing the evolution of ethical considerations in technology.
• 1.3 Ethical Frameworks: Examining key theories and frameworks applicable to AI.
Module 2: Identifying Ethical Risks in AI
• 2.1 Bias and Fairness: Strategies for recognising and reducing bias in algorithms.
• 2.2 Transparency and Explainability: Ensuring AI systems are interpretable and transparent.
• 2.3 Privacy and Data Protection: Measures to protect data privacy in AI applications.
• 2.4 Accountability and Responsibility: Clarifying roles and accountability in AI operations.
Module 3: Regulatory and Compliance Landscape
• 3.1 Global Regulations: An overview of AI regulatory frameworks worldwide.
• 3.2 Compliance Strategies: Methods for establishing and implementing AI compliance frameworks.
• 3.3 Ethical Auditing: Processes for conducting ethical reviews of AI systems.
Module 4: Developing an Ethical AI Strategy
• 4.1 Ethical AI Roadmap: Constructing a strategic plan for ethical AI adoption.
• 4.2 Policy Development: Formulating policies and guidelines for ethical AI usage.
• 4.3 Stakeholder Engagement: Techniques for involving stakeholders in ethical AI discourse.
Module 5: Fostering an Ethical AI Culture
• 5.1 Leadership and Governance: Defining leadership structures for AI ethics.
• 5.2 Training and Awareness: Establishing programmes to raise awareness of ethical AI practices.
• 5.3 Ethical Decision-Making: Integrating ethical principles into AI decision-making workflows.
Module 6: Case Studies and Real-World Applications
• 6.1 Industry Case Studies: Reviewing real-world instances of both ethical and unethical AI usage.
• 6.2 Lessons Learned: Extracting key insights from successful and unsuccessful AI ethics initiatives.
• 6.3 Scenario Analysis: Participating in interactive scenarios to apply ethical principles.
Module 7: Emerging Trends and Future Directions
• 7.1 Technological Advances: Analysing the ethical implications of emerging AI technologies.
• 7.2 Future Challenges: Anticipating upcoming ethical hurdles in the AI sector.
• 7.3 Preparing for the Future: Strategies to maintain a competitive edge in ethical AI leadership.
Requirements
Target Audience
This programme is specifically designed for CEOs and senior leaders operating within Risk and Compliance functions.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 4800 € + VAT*
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Testimonials (1)
basics and loved the prepared documents and exercises
