The Auditing AI and Digital Transformation Risks training course in Geneva is designed for professionals seeking to understand and manage the risks related to AI and digital transformation in their organization.
From:
25-05-2026
From:
05-10-2026
Course Overview
As organizations adopt artificial intelligence and digital transformation at scale, risks around ethics, compliance, cybersecurity, and governance have intensified. This Auditing AI and Digital Transformation Risks Training Course is designed to help auditors, compliance officers, and business leaders evaluate these risks with rigor and confidence.
Participants will explore frameworks for auditing AI models, assessing data governance, managing cybersecurity vulnerabilities, and ensuring compliance with regulatory standards. The course emphasizes practical tools, real-world case studies, and proactive auditing practices to minimize organizational exposure.
By the end of this training, attendees will be equipped to identify, evaluate, and mitigate risks tied to AI adoption and digital transformation strategies.
Course Benefits
Strengthen auditing practices for AI and digital systems.
Identify ethical, compliance, and operational risks.
Gain confidence in auditing emerging technologies.
Learn to integrate risk management into digital initiatives.
Improve organizational resilience and governance.
Course Objectives
Understand the key risks of AI and digital transformation.
Apply auditing frameworks to AI models and digital systems.
Evaluate compliance with legal and ethical standards.
Assess cybersecurity risks tied to digital initiatives.
Audit data governance and quality assurance practices.
Identify bias, transparency, and accountability risks.
Develop strategies for continuous monitoring and reporting.
Training Methodology
The course uses expert lectures, real-world audit scenarios, group workshops, and digital case studies. Participants will practice applying frameworks to simulated AI and digital transformation projects.
Target Audience
Internal and external auditors.
Risk and compliance managers.
Technology governance officers.
Executives overseeing digital transformation.
Target Competencies
AI and digital risk auditing.
Compliance and regulatory assurance.
Cybersecurity and governance.
Ethical risk management.
Course Outline
Unit 1: Introduction to AI and Digital Transformation Risks
Defining risks in AI adoption and digital transformation.
Emerging challenges in compliance and governance.
Audit roles in technology-enabled enterprises.
Global case studies of AI-related risks.
Unit 2: Auditing AI Systems
Auditing machine learning lifecycle and model governance.
Identifying algorithmic bias and transparency issues.
Tools for auditing explainability in AI models.
Assessing accountability in AI-driven decisions.
Unit 3: Digital Transformation Risk Assessment
Operational and strategic risks of digital transformation.
Integrating risk management in transformation programs.
Auditing cloud, automation, and digital platforms.
Case examples of transformation project failures.
Unit 4: Cybersecurity and Data Governance Audits
Cybersecurity risks in AI and digital adoption.
Frameworks for auditing data privacy and security.
Evaluating data quality and lifecycle management.
Ensuring regulatory compliance (GDPR, ISO, etc.).
Unit 5: Building an Audit Roadmap for Emerging Risks
Designing continuous auditing processes.
Aligning digital risk audits with business goals.
Reporting findings to executives and regulators.
Future-proofing audit practices for innovation.
Ready to strengthen your governance of AI and digital risks?
Join the Auditing AI and Digital Transformation Risks Training Course with EuroQuest International Training and ensure your organization leads safely in the digital era.
The Auditing AI and Digital Transformation Risks Training Courses in Geneva provide professionals with a rigorous understanding of how emerging technologies impact organizational risk landscapes, compliance requirements, and audit practices. Designed for auditors, risk managers, IT governance specialists, and digital transformation leaders, these programs focus on equipping participants with the analytical and evaluative skills needed to assess AI-enabled systems and digital initiatives effectively.
Participants explore the essential principles of AI governance, digital risk assessment, and technology auditing, gaining insight into how automation, machine learning, data analytics, and digital platforms introduce new operational and strategic risks. The courses emphasize evaluating algorithmic transparency, data integrity, cybersecurity considerations, system reliability, and change-management controls. Through case studies and guided exercises, participants learn to identify vulnerabilities, assess control environments, and recommend mitigation strategies that support responsible and compliant technology deployment.
These AI and digital transformation risk training programs in Geneva balance conceptual frameworks with practical application. Participants gain hands-on experience using audit tools, digital risk assessment models, and control evaluation techniques tailored to technology-driven environments. The curriculum also addresses emerging global trends—including AI ethics, digital accountability structures, automation oversight, and the integration of digital risk into enterprise audit functions—ensuring that professionals are prepared to evaluate both current and future technological advancements.
Attending these training courses in Geneva offers professionals a valuable opportunity to learn within a global center renowned for its leadership in governance, international collaboration, and innovation oversight. Expert-led workshops, peer dialogue, and real-world simulations enrich the learning experience and provide diverse perspectives on auditing AI and digital transformation initiatives. By completing this specialization, participants become equipped to strengthen audit quality, enhance digital risk oversight, and guide their organizations toward safe, ethical, and resilient adoption of emerging technologies.