Saying Yes - Building the Enabling Privacy Function
Instructor
Dr. Sachiko Scheuing
Learning Time
4.02
DSARs & Automated Decisions in HR AI
How to triage DSARs involving AI (candidates/employees), identify automated decision-making, and scope what to disclose. Plain-language explanations of logic, key factors, and safeguards, without exposing IP or creating new risks. Escalation and redaction rules, plus documentation patterns that satisfy regulators and internal audit.
Instructor
Temitayo Ogunmokun
Learning Time
10 minutes
4.02
AI Governance in Financial Services
Balancing innovation, assurance, and regulatory control.
Instructor
Gita Shivarattan
Learning Time
4.02
From Privacy to AI Governance
Instructor
Gita Shivarattan
Learning Time
4.12
Building Leadership Confidence in Responsible AI
Instructor
Carolina Braga
Learning Time
10 minutes
4.17
Shared Language in AI Governance
Defining the essential AI knowledge required for informed oversight and effective governance.
AI literacy, technical knowledge, conceptual understanding, ethical implications.
Instructor
Linda Thielová
Learning Time
10 minutes
4.21
Using AI to Support Internal Mobility (HR)
Instructor
Petruta Pirvan
Learning Time
10 minutes
4.22
Governing AI at Speed
Instructor
Julia Magrani
Learning Time
10 minutes
4.22
AI in Digital Marketing
Instructor
Dr. Sachiko Scheuing
Learning Time
10 minutes
4.25
AI in the Workplace
Instructor
Petruta Pirvan
Learning Time
10 minutes
4.36
Extending Privacy Artefacts to Cover AI Systems (part 2)
Instructor
João Lamim
Learning Time
10 minutes
05
Vendor Assurance
AI in Partner and Third-Party Ecosystems
5.02
Privacy & Security - Cornerstones of AI Governance
Instructor
Ulrika Dellrud
Learning Time
10 minutes
06
Risk & Controls
Anticipating Risks and Building Robust AI Systems
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Post-Deployment AI Governance: Continuous Oversight
Monitor & adjust post-deployment AI governance
Learn how to manage AI governance frameworks post-deployment and make ongoing adjustments.
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From Principles to Practice: Designing AI Governance
Translate principles into operational rules
Learn how to take key AI governance principles and translate them into actionable operational rules.
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Fairness in AI Vendor Contracts
Embedding fairness in AI vendor contracts
The critical aspects of drafting and reviewing contracts with third-party AI vendors to ensure adherence to ethical standards, particularly regarding fairness and non-discrimination.
6.04
The Next Critical Governance Risk: AI Agents
Instructor
Jose Belo
Learning Time
10 minutes
6.12
Monitoring in AI Governance
Monitor and adjust governance frameworks after deployment
Post-deployment AI governance: continuous monitoring and adjustment.
Instructor
Linda Thielová
Learning Time
10 minutes
6.13
Reporting & Escalation in AI Governance
Establish effective escalation for AI issues
AI issue reporting, escalation, incident management.