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Bias, Accuracy, & the Statistics of AI Testing

Bias, Accuracy, & the Statistics of AI Testing

This course focuses on the actual practice of algorithm audit and assurance. The field of regulatory assurance has a long history, and most of the standards from that field can and should be applied in the context of algorithmic systems. However, the complexity and rapidly evolving nature of modern algorithmic systems that utilize AI/ML present new challenges for audit and assurance practitioners; this course focuses on how BABL navigates these challenges.

Modality: E-learning
Language: English

  • Certified training

IAS

UKAS

KAB

CPD

COFRAC

ANAB

IAF

  • Certified training

IAS

UKAS

KAB

CPD

COFRAC

ANAB

IAF

419€

Learning Objectives

By the end of the course, you will be able to:

Know the language of statistical testing for AI/ML systems

Understand different elements of AI testing, validation, and monitoring

Know when to ask critical questions when evaluating/auditing other people’s testing

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Designed For

Auditors and assurance professionals expanding into AI governance, compliance, ethics
Legal advisors involved in algorithmic oversight
Data and AI risk managers in regulated industries
Technical consultants and Responsible AI professionals
Internal auditors seeking to address AI risks

Certification & Exam

Certificate

Certified Bias, Accuracy, & the Statistics of AI Testing Professional (by BABL AI)

Exam

No exam, just quizzes

What’s Included?

Video lectures, quizzes, slides and downloadable resources
Slack community access + Weekly Q&A with BABL faculty
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