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Duration 7 hours
Course Outline
Introduction to the EU AI Act
- The regulatory intent and scope of the Act.
- Essential definitions pertinent to end-user roles.
- An overview of obligations for both organizations and individuals.
Decoding Article 4: Prohibited AI Practices
- The specific prohibitions in Article 4 and their rationale.
- Real-world examples of banned practices within workplace tools.
- Techniques for detecting potential violations in daily operations.
Your Role and Responsibilities
- Expected conduct when utilizing AI systems.
- The impact of individual actions on overall organizational compliance.
- Foundational privacy and data-handling principles for users.
Safeguarding AI Tool Usage
- Practical advice for interacting with chatbots, recommendation engines, and automated decision-making tools.
- Recognizing AI limitations and knowing when to request human oversight.
- Identifying and reporting biased or harmful outputs.
Incident Reporting and Escalation
- Defining what constitutes an incident or suspected breach.
- The procedural workflow for reporting incidents.
- Recommended templates and evidence to gather.
Record-Keeping and Evidence Management
- The minimum records end users are expected to maintain.
- Methods for completing basic logs and checklists.
- Procedures for transferring records to auditors and compliance teams.
Practical Scenarios and Exercises
- Interactive simulation: Detecting a prohibited practice in a mock system.
- Hands-on exercise: Submitting an incident report and compiling supporting evidence.
- Group discussion: Best strategies for handling ambiguous AI outputs.
Assessments and Certification
- A brief knowledge check to verify comprehension.
- Practical assignment: Completing a sample incident report.
- Issuance of a completion certificate for participants meeting the criteria.
Summary and Next Steps
Requirements
- A fundamental grasp of workplace technology standards.
- Awareness of your organization’s IT and data usage guidelines.
- An open attitude toward participating in scenario-based learning activities.
Target Audience
- End users regularly interacting with AI-driven systems.
- Operational personnel tasked with adhering to AI usage procedures.
- Non-technical stakeholders required to identify and avoid prohibited AI practices.
