AI Ethics Training: Raising Ethical Awareness in AI Implementation
- Equip teams and executives with a comprehensive understanding of AI ethics and its significance in the context of the EU AI Act.
- Raise awareness about potential ethical implications of AI decisions and actions.
- Provide tools and insights to make informed ethical choices during AI development and deployment.
- Align AI practices with the principles outlined in the EU AI Act.
Training Duration: 1 day workshop
Training Fee: €1500 excl. VAT
Module 1: Introduction to AI Ethics
- Understanding the fundamental concepts of AI ethics.
- Exploring the link between AI ethics and legal compliance, focusing on the EU AI Act.
- Recognizing the ethical considerations that arise during AI development and deployment.
Module 2: Ethical Implications of AI
- Identifying potential ethical challenges in AI decision-making.
- Addressing bias, fairness, transparency, and accountability in AI systems.
- Examining real-world case studies highlighting ethical dilemmas in AI.
Module 3: The EU AI Act and Ethical Alignment
- A deep dive into the principles of the EU AI Act relevant to ethics.
- Mapping the Act's requirements to ethical considerations during AI development.
- Ensuring alignment with the Act's emphasis on accountability, transparency, and risk assessment.
Module 4: Ethical Decision-Making in AI
- Introducing frameworks for ethical decision-making in AI.
- Ethical considerations during data collection, processing, and model training.
- Navigating the balance between innovation and responsible AI practices.
Module 5: Ethical Data Handling
- Exploring best practices for handling sensitive and personal data in AI systems.
- Addressing privacy concerns and user rights in compliance with GDPR and other data protection regulations.
Module 6: Communicating Ethical AI
- Strategies for transparently communicating AI decisions to stakeholders.
- Building user trust through ethical communication and transparency.
- Aligning communication practices with the EU AI Act's emphasis on transparency.
Module 7: Interactive Workshops and Case Studies
- Group discussions on ethical scenarios related to AI deployment.
- Collaborative analysis of case studies to identify ethical considerations and solutions.
- Engaging participants in hands-on activities to apply ethical frameworks.
Module 8: Action Plan and Implementation
- Guiding teams in developing an action plan for integrating ethical considerations into AI practices.
- Defining roles and responsibilities for maintaining ethical alignment.
- Outlining steps to ensure ongoing adherence to AI ethics and the EU AI Act.
Engaging presentations by subject matter experts.
Interactive group discussions and brainstorming sessions.
Case study analyses and scenario-based exercises.
Q&A sessions to address participant queries.
Enhanced awareness of AI ethics among teams and executives.
Empowered decision-makers equipped to navigate ethical challenges.
Improved alignment with the EU AI Act's ethical principles.
Strengthened stakeholder trust through transparent and ethical AI practices.