ΠΕΡΙΓΡΑΦΗ

The course “Leveraging AI for Effective GDPR Compliance” is designed to provide participants with a comprehensive understanding of GDPR requirements combined with practical approaches for enhancing compliance through the use of modern technologies. The program focuses on bridging the gap between regulatory obligations and real-world implementation by equipping participants with both theoretical knowledge and hands-on skills.

The course is structured into a series of modules that progressively build from GDPR fundamentals to advanced, technology-supported compliance practices. Participants will gain a clear understanding of key concepts such as lawful processing, data subject rights, risk management, and accountability, while also exploring how digital tools can support activities such as data mapping, documentation, monitoring, and incident management.

ΣΚΟΠΟΣ ΣΕΜΙΝΑΡΙΟΥ

KNOWLEDGE OBJECTIVES:

• Understand the fundamental principles and structure of GDPR, including lawful bases for processing, accountability, data minimization, purpose limitation, and the roles of controllers and processors within an organization.
• Explain how modern digital tools and automated technologies are used in data processing activities, and how these technologies impact the collection, storage, analysis, and sharing of personal data.
• Identify and assess data protection risks arising from automated processing and advanced analytics,
• including issues related to transparency, accuracy, bias, and the potential impact on data subject
• rights.
• Describe how technology can support key compliance functions, such as maintaining records of processing activities (ROPA), conducting Data Protection Impact Assessments (DPIAs), monitoring data flows, and detecting potential breaches.
• Recognize the legal, regulatory, and ethical requirements associated with automated decision-making, including the need for human oversight, explainability, and safeguards to protect individuals’ rights and freedoms.
• Understand practical approaches for integrating technology into a GDPR compliance framework, ensuring alignment with privacy by design and by default, and supporting continuous monitoring, documentation, and improvement of data protection practices.
• Describe how AI can support GDPR compliance activities, such as data mapping, risk assessment, monitoring, and incident detection.
• Recognize the legal and ethical considerations of AI under GDPR, including requirements for explainability, human oversight, and data minimization.
• Understand best practices for implementing AI-driven solutions in a GDPR-compliant manner, aligned with the principles of privacy by design and by default.
  
  ATTITUDE OBJECTIVES:
• Apply GDPR principles in real-world scenarios by analyzing data processing activities and determining appropriate lawful bases, safeguards, and controls.
• Use digital tools to map and document data flows within an organization, ensuring accurate records of processing activities and improved visibility of personal data handling.
• Conduct basic Data Protection Impact Assessments (DPIAs) by identifying risks, evaluating their impact, and recommending appropriate mitigation measures.
• Evaluate automated processes for compliance risks and implement appropriate controls to ensure transparency, accountability, and protection of data subject rights.
• Develop and implement practical compliance measures that integrate technology into daily operations, supporting continuous monitoring, incident detection, and effective response to data protection issues.

ΣΕ ΠΟΙΟΥΣ ΑΠΕΥΘΥΝΕΤΑΙ

• Data Protection Officers (DPOs) and compliance professionals
• Legal advisors and in-house counsel
• Information Security and IT professionals
• Risk management and internal audit staff
• Human Resources personnel handling employee data
• Operations and business process managers
• Senior managers and decision-makers responsible for governance and compliance
• Professionals involved in data handling, analysis, or digital transformation initiatives

Participants should meet at least one of the following:

• Have a role involving the processing or management of personal data, such as in compliance, legal, IT, HR, or operations functions.
• Be responsible for ensuring or supporting GDPR compliance within their organization, including policy implementation, monitoring, or reporting activities.
• Possess basic knowledge of data protection principles or regulatory requirements, either through prior training or practical experience.

ΠΕΡΙΣΣΟΤΕΡΕΣ ΠΛΗΡΟΦΟΡΙΕΣ

Topics

• Overview of GDPR and its relevance to organizations
• The evolving landscape of data processing and regulatory expectations
• Challenges in traditional compliance approaches
• The role of technology in enhancing efficiency and accuracy in compliance
• Core principles of GDPR (lawfulness, fairness, transparency, purpose limitation, data minimization, accuracy, storage limitation, integrity, and confidentiality) Roles and responsibilities (controllers, processors, DPOs)
• Lawful bases for processing personal data Data subject rights and organizational obligations
• Overview of Records of Processing Activities (ROPA)
• Introduction to Data Protection Impact Assessments (DPIAs)
• Common compliance challenges in modern data environments
• Practical Component – Case Study (condensed)
• Participants will work through a real-life scenario involving personal data processing within an organization. They will: Identify GDPR requirements Assess risks. Propose compliance measures.
• Detecting, managing, and documenting personal data breaches
• Supporting compliance reporting and audit readiness
• Addressing challenges related to automated processing and decision-making
• Using technology to support ROPA and data mapping
• Enhancing DPIAs through structured tools and templates
• Monitoring data flows and identifying high-risk processing activities
• Integrating compliance controls into daily business operations
• Introduction to ChatGPT and its capabilities in a business and compliance context
• Practical use cases for supporting GDPR activities
• Assisting with the creation and maintenance of ROPA
• Automating routine compliance tasks and improving internal communication Ensuring safe and compliant use when handling personal data
• Limitations, risks, and governance considerations
• Practical Exercises: Participants will: Draft a privacy notice, Identify risks in a processing scenario, Generate compliance documentation Review and refine outputs
• Developing an internal framework for responsible use of ChatGPT
• Establishing policies, procedures, and usage guidelines
• Defining roles and responsibilities
• Ensuring data protection by design and by default
• Monitoring performance and managing risks (data leakage, misuse, over-reliance)
• Preparing for audits and demonstrating compliance
• Mini Workshop (integrated)
• High-level action planning for implementation
• Understanding and mapping data flows
• Identifying key systems and third-party interactions
• Translating data flows into compliance controls
• Developing core GDPR policies and procedures
• Generating templates (ROPA, DPIA, privacy notices) using ChatGPT
• Ensuring consistency and regulatory alignment