Understanding AI Bias and Its Impacts

Learn what bias in AI systems is, where it comes from, and how it can affect decision-making, fairness, and trust.

Practical Guidance for Bias Management

Explore methods and approaches recommended by ISO/IEC TR 24028:2020 for identifying, assessing, and mitigating bias across the AI lifecycle.

Supporting Responsible & Trustworthy AI

Understand how bias management contributes to ethical, transparent, and responsible AI aligned with international standards and governance frameworks.

About the course

This training course provides a practical introduction to ISO/IEC TR 24028:2020, which offers guidance on recognizing and managing bias in artificial intelligence systems. Participants will gain an understanding of different types of AI bias, their sources, and their potential impacts. The course explains how organizations can apply the guidance of ISO/IEC TR 24028:2020 to support fairness, transparency, and trust in AI-based systems. The training is suitable for professionals involved in the design, development, deployment, assessment, or governance of AI systems.

Vladimir Babkin

Experienced AI and IT Project Manager with a strong background in leading complex technology and innovation projects. Skilled in artificial intelligence, digital transformation, and process optimization, using tools such as ChatGPT, Copilot, Tableau, Power BI, JIRA, and Azure. Certified in Agile, SAFe, and PMI PMBOK methodologies with proven expertise in managing scope, risks, and budgets. Passionate about data analysis, automation, and integrating AI solutions into business workflows. Currently working in certification and information security management, providing expert consulting, auditor training, and coordination of international certification projects. A proactive tutor and mentor focused on AI technologies, IT project management, and innovation, and an active member of the AI community in Prague.

Curriculum

6 Chapters · 18 Lessons

  1. 1

    1. Introduction to the Training

    1. (Included in full purchase)

      Participant Material - Module 1

    2. (Included in full purchase)

      Video Module 1

    3. (Included in full purchase)

      Quiz Module 1

  2. 2

    2. Understanding Trustworthiness in AI

    1. (Included in full purchase)

      Participant Material - Module 2

    2. (Included in full purchase)

      Video Module 2

    3. (Included in full purchase)

      Quiz Module 2

  3. 3

    3. Framework for Assessing AI Trustworthiness

    1. (Included in full purchase)

      Participant Material - Module 3

    2. (Included in full purchase)

      Video Module 3

    3. (Included in full purchase)

      Quiz Module 3

  4. 4

    4. Challenges in Achieving Trustworthy AI

    1. (Included in full purchase)

      Participant Material - Module 4

    2. (Included in full purchase)

      Video Module 4

    3. (Included in full purchase)

      Quiz Module 4

  5. 5

    5. Best Practices for Designing Trustworthy AI Systems

    1. (Included in full purchase)

      Participant Material - Module 5

    2. (Included in full purchase)

      Video Module 5

    3. (Included in full purchase)

      Quiz Module 5

  6. 6

    6. Conclusion and Q&A Session

    1. (Included in full purchase)

      Participant Material - Module 6

    2. (Included in full purchase)

      Video Module 6

    3. (Included in full purchase)

      Quiz Module 6

What people are saying

Real Feedback. Real Results.

”
I really appreciated the interactive quizzes throughout the LL-C e-learning course. They helped me confirm my understanding and made the learning process more engaging.
Daniele N.

Auditor, Italy

The LL-C (Certification) e-learning course provided all the essential information I needed to understand the ISO requirements. Everything was clear, complete, and easy to follow.
Martina Č.

Auditor ISMS, Czech Republic

”
The overall quality of the LL-C Certification training was excellent. The content was well-prepared, professional, and very useful for my ISO knowledge.
Leo K.

Auditor ISMS, Germany

Strengthen your understanding of AI bias and learn how to apply ISO/IEC TR 24028:2020 in practice.

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