Algorithmic Risk & Impact Assesments

Master structured evaluations of algorithmic risks and ethical impacts

Formation

Disponible à tout moment

Certificat

E-learning

14 heures

Réalisable en ligne

Référence de la formation: FR-GL-AI-Babl-02

This course teaches a systematic approach to identifying, evaluating, and documenting algorithmic risks and ethical impacts in AI systems. You will learn BABL AI’s proven framework for detecting and assessing potential harms, stakeholder impacts, and transparency challenges within emerging technologies. The course lays a strong foundation for responsible AI governance and complements BABL AI’s AI Governance & Risk Management training.

This course is part of BABL AI's AI & Algorithm Auditor Certification Program, which builds core skills for AI auditing, governance, and regulatory compliance.

Les objectifs

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Develop practical skills for algorithmic risk assessment
Learn how to document and communicate potential system impacts
Understand how to identify and engage relevant stakeholders
Gain tools to promote accountability, fairness, and transparency in AI systems

Le public ciblé

This course is ideal for:

AI auditors and compliance professionals
Risk analysts and assurance specialists
Policy advisors and legal experts in AI governance
Data scientists and AI practitioners
Technology ethics consultants
Business leaders managing AI-driven decision-making systems

Les prérequis

coding experience not required but beneficial
Helpful but not essential: familiarity with AI/ML concepts or Python
Strong critical thinking and analytical skills
English proficiency – the course is offered exclusively in English

Participants should be comfortable analyzing complex AI systems and considering ethical and regulatory perspectives.

Le contenu de la formation

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The training includes:

Identifying socio-technical components of algorithmic systems
Defining use cases, human oversight, and transparency factors
Creating algorithmic transparency narratives (CIDA method)
Mapping stakeholders and assessing their rights and interests
Prioritizing risks and harms
Recognizing key technical metrics for risk assessment
Linking to broader impact assessment methodologies

Informations importantes

This course is part of BABL AI’s AI & Algorithm Auditor Certification Program, designed to build expertise in AI auditing, risk assessment, and regulatory compliance.

Approximative duration 2 days and comprises 11 learning units

Recommended equipment for accessing the Training Area :

To get the most out of your online training, make sure you have the following equipment:

Computer: PC or Mac
Internet connection: stable and good quality
Web browser: recent version of Chrome, Firefox, Edge or Safari
Office suite: OpenOffice, Microsoft Office or equivalent (spreadsheet, word processing, presentation, etc.)
PDF reader: To view your training materials
Storage: File storage capacity (hard drive, cloud, etc.)

You can contact the TÜV Rheinland team for assistance in setting up your training course.

Tip: Make sure your hardware and software are up to date for an optimal experience!

If you have a disability, please contact us before registering by sending an email to formation@fr.tuv.com. We will do everything we can to meet your training needs.

FAQ Suggestions

1. Do I need coding experience for this course?
No. The course does not require coding. Basic understanding of AI/ML concepts may be helpful but is not mandatory.

2. Is this course only for auditors?
No. It is valuable for anyone involved in AI governance, compliance, risk analysis, or ethics—including policymakers, consultants, and business leaders.

3. How does this course fit into the full certification program?
It is one of five courses in BABL AI’s AI & Algorithm Auditor Certification Program and provides essential skills for understanding and mitigating algorithmic risks.

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