Auditing artificial intelligence.

Format:

Video

Contributor:

Murdock, Hernan, instructor.

Scott, Jax, instructor.

ACI Learning (Firm), instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Artificial intelligence--Auditing.

Artificial intelligence.

Artificial intelligence--Evaluation.

Physical Description:

1 online resource (1 video file (4 hr.) : sound, color.

Edition:

[First edition].

Place of Publication:

[Birmingham, United Kingdom] : Packt Publishing, 2026.

Summary:

In this comprehensive video course, learners build a clear foundation in AI and machine learning concepts and AI governance and risk. The content connects data bias and model transparency with practical ways to identify core artificial intelligence and machine learning concepts. What I will be able to do after this course Identify core artificial intelligence and machine learning concepts Analyze AI and ML risks within organizations Evaluate governance and control considerations for AI systems Assess audit approaches for emerging technology environments Recommend practices for responsible AI and ML oversight Course Instructor(s) Dr. Hernan Murdock, CIA, CRMA, is an accomplished internal auditor, trainer, and author with extensive experience leading audit and consulting engagements. Who is it for? Designed for internal auditors, audit managers, risk professionals, and assurance practitioners. The beginner level suits newcomers and practitioners refreshing core knowledge. Professionals will benefit most if they want to identify core artificial intelligence and machine learning concepts and analyze AI and ML risks within organizations.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

9781808650796

OCLC:

1612437635