ISACA Webinar: Audit Practitioner’s Guide to Machine Learning

When:  Feb 28, 2023 from 11:00 to 12:00 (CT)

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


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.

Victor Fang, Ph.D., 

Victor is a Silicon Valley entrepreneur and innovator in data science and artificial intelligence with over 10 years of experience. He has held data science leadership roles at FireEye Mandiant, Awake Security (Greylock, acq' 2020), Pivotal (IPO 2018) and EMC. Since 2020, Victor has served as an Industry Advisor at UC Berkeley. Victor currently holds 20 US patents on AI for cybersecurity and fraud detection. While not saving the web3 world he plays electric guitar and piano in a rock band.


Online Instructions:
Login: Register for this ISACA webinar at the link above. Login instructions will be provided after registering.