Identification and types of bias in AI systems

The training provides an overview of different types of bias in AI systems, including data bias, algorithmic bias, and human bias. It explains how and at which stages of the AI system lifecycle bias can arise, with a particular focus on risks related to AI-aided decision-making.

Methods for measuring and assessing bias

Participants are introduced to measurement techniques and methods for assessing bias, including both qualitative and quantitative approaches. The training explains how to identify bias-related vulnerabilities and evaluate their impact on the fairness, reliability, and trustworthiness of AI systems.

Bias management across the AI system lifecycle

The course focuses on managing and mitigating bias throughout all phases of the AI system lifecycle, including data collection, system design, model training, testing, evaluation, deployment, use, and continual learning. Participants gain insight into preventive measures and control mechanisms that support responsible and transparent use of AI.

About the course

This course provides an overview of ISO/IEC TR 24027:2021, focusing on the identification, assessment, and management of bias in artificial intelligence (AI) systems, particularly in AI-aided decision-making. Participants will learn how bias can arise and how it affects the fairness, reliability, and trustworthiness of AI systems across all phases of the AI lifecycle, including data collection, design, training, testing, evaluation, deployment, use, and continual learning. The course introduces methods for measuring and assessing bias, as well as practical approaches for managing and mitigating bias, including preventive measures, monitoring, and governance practices that support responsible and transparent use of AI. This training is intended for professionals involved in the development, deployment, oversight, or auditing of AI systems, as well as those responsible for AI risk management and compliance.

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

7 Chapters · 21 Lessons

  1. 1

    1. Introduction and Overview

    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. Foundations of Bias 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. Assessing Bias and Fairness in AI Systems

    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. Mitigating Unwanted Bias in AI Development

    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. Addressing Societal Impacts of Bias

    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. Open Source Tools and Resources

    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

  7. 7

    7. Conclusion and Key Takeaways

    1. (Included in full purchase)

      Participant Material - Module 7

    2. (Included in full purchase)

      Video Module 7

    3. (Included in full purchase)

      Quiz Module 7

What people are saying

Testimonials build trust — fast. 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 specific ISO standards 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

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