Course Code: xaitransparency
Duration: 21 hours
Prerequisites:
  • Experience in machine learning and AI model development
  • Familiarity with Python programming

Audience

  • Data scientists
  • Machine learning engineers
  • AI specialists
Overview:

Explainable AI (XAI) is crucial for creating transparent and interpretable AI systems. This course dives into advanced XAI techniques, exploring how to make AI models more accountable and ethical by addressing interpretability challenges.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to implement transparent AI systems in real-world applications.

By the end of this training, participants will be able to:

  • Understand the importance of transparency in AI models.
  • Implement advanced XAI techniques to interpret complex models.
  • Enhance model transparency using SHAP, LIME, and other tools.
  • Address ethical concerns and fairness in AI models.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Course Outline:

Introduction to Explainable AI (XAI) and Model Transparency

  • What is Explainable AI?
  • Why transparency matters in AI systems
  • Interpretability vs. performance in AI models

Overview of XAI Techniques

  • Model-agnostic methods: SHAP, LIME
  • Model-specific explainability techniques
  • Explaining neural networks and deep learning models

Building Transparent AI Models

  • Implementing interpretable models in practice
  • Comparing transparent models vs. black-box models
  • Balancing complexity with explainability

Advanced XAI Tools and Libraries

  • Using SHAP for model interpretation
  • Leveraging LIME for local explainability
  • Visualization of model decisions and behaviors

Addressing Fairness, Bias, and Ethical AI

  • Identifying and mitigating bias in AI models
  • Fairness in AI and its societal impacts
  • Ensuring accountability and ethics in AI deployment

Real-World Applications of XAI

  • Case studies in healthcare, finance, and government
  • Interpreting AI models for regulatory compliance
  • Building trust with transparent AI systems

Future Directions in Explainable AI

  • Emerging research in XAI
  • Challenges in scaling XAI for large-scale systems
  • Opportunities for the future of transparent AI

Summary and Next Steps

Sites Published:

United Arab Emirates - Explainable AI (XAI) for Transparency in AI Models

Qatar - Explainable AI (XAI) for Transparency in AI Models

Egypt - Explainable AI (XAI) for Transparency in AI Models

Saudi Arabia - Explainable AI (XAI) for Transparency in AI Models

South Africa - Explainable AI (XAI) for Transparency in AI Models

Brasil - Explainable AI (XAI) for Transparency in AI Models

Canada - Explainable AI (XAI) for Transparency in AI Models

中国 - Explainable AI (XAI) for Transparency in AI Models

香港 - Explainable AI (XAI) for Transparency in AI Models

澳門 - Explainable AI (XAI) for Transparency in AI Models

台灣 - Explainable AI (XAI) for Transparency in AI Models

USA - Explainable AI (XAI) for Transparency in AI Models

Österreich - Explainable AI (XAI) for Transparency in AI Models

Schweiz - Explainable AI (XAI) for Transparency in AI Models

Deutschland - Explainable AI (XAI) for Transparency in AI Models

Czech Republic - Explainable AI (XAI) for Transparency in AI Models

Denmark - Explainable AI (XAI) for Transparency in AI Models

Estonia - Explainable AI (XAI) for Transparency in AI Models

Finland - Explainable AI (XAI) for Transparency in AI Models

Greece - Explainable AI (XAI) for Transparency in AI Models

Magyarország - Explainable AI (XAI) for Transparency in AI Models

Ireland - Explainable AI (XAI) for Transparency in AI Models

Luxembourg - Explainable AI (XAI) for Transparency in AI Models

Latvia - Explainable AI (XAI) for Transparency in AI Models

España - Explainable AI (XAI) for Transparency in AI Models

Italia - Explainable AI (XAI) for Transparency in AI Models

Lithuania - Explainable AI (XAI) for Transparency in AI Models

Nederland - Explainable AI (XAI) for Transparency in AI Models

Norway - Explainable AI (XAI) for Transparency in AI Models

Portugal - Explainable AI (XAI) for Transparency in AI Models

România - Explainable AI (XAI) for Transparency in AI Models

Sverige - Explainable AI (XAI) for Transparency in AI Models

Türkiye - Explainable AI (XAI) for Transparency in AI Models

Malta - Explainable AI (XAI) for Transparency in AI Models

Belgique - Explainable AI (XAI) for Transparency in AI Models

France - Explainable AI (XAI) for Transparency in AI Models

日本 - Explainable AI (XAI) for Transparency in AI Models

Australia - Explainable AI (XAI) for Transparency in AI Models

Malaysia - Explainable AI (XAI) for Transparency in AI Models

New Zealand - Explainable AI (XAI) for Transparency in AI Models

Philippines - Explainable AI (XAI) for Transparency in AI Models

Singapore - Explainable AI (XAI) for Transparency in AI Models

Thailand - Explainable AI (XAI) for Transparency in AI Models

Vietnam - Explainable AI (XAI) for Transparency in AI Models

India - Explainable AI (XAI) for Transparency in AI Models

Argentina - Explainable AI (XAI) for Transparency in AI Models

Chile - Explainable AI (XAI) for Transparency in AI Models

Costa Rica - Explainable AI (XAI) for Transparency in AI Models

Ecuador - Explainable AI (XAI) for Transparency in AI Models

Guatemala - Explainable AI (XAI) for Transparency in AI Models

Colombia - Explainable AI (XAI) for Transparency in AI Models

México - Explainable AI (XAI) for Transparency in AI Models

Panama - Explainable AI (XAI) for Transparency in AI Models

Peru - Explainable AI (XAI) for Transparency in AI Models

Uruguay - Explainable AI (XAI) for Transparency in AI Models

Venezuela - Explainable AI (XAI) for Transparency in AI Models

Polska - Explainable AI (XAI) for Transparency in AI Models

United Kingdom - Explainable AI (XAI) for Transparency in AI Models

South Korea - Explainable AI (XAI) for Transparency in AI Models

Pakistan - Explainable AI (XAI) for Transparency in AI Models

Sri Lanka - Explainable AI (XAI) for Transparency in AI Models

Bulgaria - Explainable AI (XAI) for Transparency in AI Models

Bolivia - Explainable AI (XAI) for Transparency in AI Models

Indonesia - Explainable AI (XAI) for Transparency in AI Models

Kazakhstan - Explainable AI (XAI) for Transparency in AI Models

Moldova - Explainable AI (XAI) for Transparency in AI Models

Morocco - Explainable AI (XAI) for Transparency in AI Models

Tunisia - Explainable AI (XAI) for Transparency in AI Models

Kuwait - Explainable AI (XAI) for Transparency in AI Models

Oman - Explainable AI (XAI) for Transparency in AI Models

Slovakia - Explainable AI (XAI) for Transparency in AI Models

Kenya - Explainable AI (XAI) for Transparency in AI Models

Nigeria - Explainable AI (XAI) for Transparency in AI Models

Botswana - Explainable AI (XAI) for Transparency in AI Models

Slovenia - Explainable AI (XAI) for Transparency in AI Models

Croatia - Explainable AI (XAI) for Transparency in AI Models

Serbia - Explainable AI (XAI) for Transparency in AI Models

Bhutan - Explainable AI (XAI) for Transparency in AI Models

Nepal - Explainable AI (XAI) for Transparency in AI Models

Uzbekistan - Explainable AI (XAI) for Transparency in AI Models