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Duration 7 hours
Course Outline
Foundations of the EU AI Act
- The intent and jurisdiction of the regulation.
- Core definitions directly relevant to end users.
- An overview of the obligations placed on both organizations and individuals.
Decoding Article 4: Prohibited Practices
- An analysis of what Article 4 bans and the rationale behind it.
- Specific examples of prohibited behaviors in common workplace tools.
- Techniques for detecting potential violations during routine use.
Individual Roles and Responsibilities
- Expected conduct when utilizing AI systems.
- The impact of individual actions on overall organizational compliance.
- Basic principles of privacy and data handling for end users.
Best Practices for Safe AI Utilization
- Practical advice for working with chatbots, recommendation engines, and automated decision-making tools.
- Understanding AI limitations and knowing when human oversight is required.
- Strategies for avoiding and reporting biased or harmful outputs.
Incident Reporting and Escalation Protocols
- Defining what constitutes an incident or a suspected prohibited practice.
- A clear workflow for reporting incidents step-by-step.
- Identifying templates and the necessary evidence to collect.
Documentation and Evidence Management
- Determining the minimal records an end user should maintain.
- Methods for accurately completing basic logs and checklists.
- Proper procedures for submitting records to auditors and compliance teams.
Hands-On Scenarios and Practice
- Interactive exercise: pinpointing a prohibited practice in a simulated system.
- Workshop: drafting an incident report and gathering supporting documentation.
- Group discussion: optimal responses to ambiguous AI results.
Evaluation and Certification
- A concise knowledge assessment to verify comprehension.
- Practical assignment: finalizing a sample incident report.
- Issuance of a completion certificate to those meeting the passing criteria.
Recap and Future Actions
Requirements
- A foundational understanding of standard workplace technology.
- Familiarity with your organization’s IT and data usage policies.
- An active willingness to engage in scenario-based learning exercises.
Intended Audience
- End users who regularly interact with AI-driven systems.
- Operational teams tasked with adhering to AI usage procedures.
- Non-technical stakeholders required to identify and recognize prohibited AI activities.
