AI Risks that creeps up on you

Firm/Group/Company - R2127.50 (VAT Incl.) Individuals - R598.00 (VAT Incl.)
Firm/Group/Company - R1598.50 (VAT Incl.) Individuals - R448.50 (VAT Incl.)
If you do not inform us that you are unable to attend the webinar training session, and we are unable to reach you to confirm whether you would like access to the edited recording, your booking will automatically be credited after one week. You will then need to rebook the lesson through our Akhanani website.
Ms Covanni Hohls
13 Aug '26
09H00 - 11H00
2
Attending the course and successfully completing the post-assessment, will grant you 2 hour/s verifiable CPD, recognised by the various professional bodies (SAICA, SAIBA, SAIT, SAIPA , ACCA, IACSA & IRBA). Please note that the CPD certificate will only be issued once the post-assessment has been completed.
Web Based (Online)
COVANNI HOHLS - DU PREEZ
covanni@probetatraining.co.za

This webinar explores the often-overlooked risks of artificial intelligence that can quietly impact businesses, especially in finance and governance. We’ll uncover how hidden AI risks develop, escalate, and affect decision-making, compliance, and accountability, providing insights into proactive risk identification and ethical management for today’s professionals.

The session will examine how AI-related risks, including algorithmic bias, data privacy breaches, lack of transparency, and ethical blind spots, can go undetected until significant harm occurs. It will explore real-world examples and equip participants with strategies to identify, assess, and mitigate these risks within their professional environments.


Key Topics Covered:
• The invisible nature of AI risks
• Ethical and legal implications of AI decisions
• Algorithmic bias and data governance
• AI auditability and accountability
• Mitigating emerging risks in practice

• Internal and External Auditors
• Accountants
• Compliance officers
• Risk managers
• IT professionals
• Corporate directors
• Anyone involved in AI deployment or oversight seeking to understand and manage the subtle risks associated with artificial intelligence.