AI Transparency and Explainability Training: Fostering Ethical Decision-Making

Training Objectives

  • Equip teams with the knowledge and skills to develop AI models that prioritize transparency and explainability.
  • Align AI development practices with the EU AI Act's emphasis on transparent decision-making processes.
  • Raise awareness about the significance of transparency and explainability in building trustworthy AI systems.

Training Duration: 1-day workshop

Training Fee: €1500

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Module 1: Introduction to AI Transparency and Explainability

  • Understanding the importance of transparency and explainability in AI decision-making.
  • Exploring how transparent and explainable AI aligns with the EU AI Act's requirements.

Module 2: Principles of Transparent AI Models

  • Exploring the fundamental principles and characteristics of transparent AI models.
  • Understanding the role of transparency in building user trust and regulatory compliance.

Module 3: Techniques for Explainable AI

  • Introducing techniques and methodologies to enhance the explainability of AI models.
  • Exploring approaches such as LIME, SHAP, and rule-based explanations.

Module 4: Legal and Ethical Landscape

  • Navigating legal and ethical considerations related to AI transparency and explainability.
  • Analyzing the relationship between transparency, fairness, and accountability.

Module 5: Interpretable Model Development

  • Practical guidance for developing AI models with built-in transparency and explainability features.
  • Hands-on exercises in using interpretable algorithms and visualization techniques.

Module 6: The EU AI Act and Transparent Decision-Making

  • Deep diving into the EU AI Act's mandates related to transparent decision-making.
  • Mapping AI development practices to the Act's transparency and explainability requirements.

Module 7: Interactive Workshops and Case Studies

  • Collaborative discussions on the challenges and benefits of transparent AI models.
  • Analyzing real-world case studies that highlight the impact of explainability on AI deployment.

Module 8: Implementation Strategies

  • Defining strategies to implement transparent and explainable AI practices within your organization.
  • Addressing potential obstacles and creating an action plan for integration.

Training Delivery

  • Engaging presentations by experts in AI transparency and ethics.
  • Hands-on exercises to apply techniques for explainable AI model development.
  • Group discussions to share insights and perspectives on transparent AI practices.
  • Q&A sessions to clarify concepts and address participant inquiries.
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Training Benefits

  • Enhanced understanding of transparent and explainable AI concepts.
  • Skill development in implementing AI models with built-in transparency features.
  • Alignment with the EU AI Act's transparency and explainability requirements.
  • Empowerment to build AI systems that foster trust and accountability.

Contact us to Learn More

For inquiries about our AI Transparency and Explainability Training program and its potential to enhance your organization's ethical AI practices, please contact

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