ISACA Webinar: Audit Practitioner’s Guide to Machine Learning

28 February 2023 | 12:00 PM (ET) / 11:00 AM (CT) / 9:00 AM (PT) / 17:00 (UTC)

1 FREE CPE

As artificial intelligence (AI) and machine learning (ML) continue to be rapidly adopted by companies and governments around the world, existing auditing frameworks and information technology controls must be better tailored to address the unique and evolving risk AI and ML pose. Risk arises from the choice and design of the ML model and the development cycle. Risk is also a factor in compliance with regulations, such as the EU’s General Data Protection Regulation (GDPR) or the California Consumer Privacy Act (CCPA) in the US.

This ISACA white paper series, consisting of two parts, provides a systematic auditing guideline that identifies technology and compliance risk as the two primary focal points for auditors. Part 1 of this white paper series addresses technology risk in ML auditing by dissecting the typical software development life cycle of AI/ML algorithms and highlighting the key areas that IT auditors should investigate. Part 2 addresses compliance risk by identifying actionable steps that IT auditors can take to promote compliance with applicable laws, regulations and industry standards.