Ai Ethics Awareness Workshop for Technical People
Foster Ethical AI Development: Provide technical participants with insights into the ethical implications of AI and how to integrate ethics into their technical work.
EU AI Act Alignment: Highlight the relevance of ethical considerations in AI development in compliance with the EU AI Act.1
Promote Responsible AI: Empower technical teams to make informed decisions that prioritize ethics in AI solutions.
Module 1: Introduction to AI Ethics
- Understanding Ethical AI: Defining AI ethics and its significance in technology.
- Ethical Principles: Introducing fairness, transparency, accountability, and privacy in AI.
Module 2: AI Ethics in Technical Decision-Making
- Bias and Fairness in Algorithms: Identifying and mitigating biases in AI models.
- Explainable AI: Ensuring transparency and interpretability in technical decisions.
Module 3: EU AI Act and Ethical Compliance
- Overview of the EU AI Act: Key principles and ethical mandates.
- Mapping Ethics to Technical Choices: Connecting Act requirements to technical implementation.
Module 4: Case Studies and Ethical Design
- Collaborative Discussion: Group exploration of real-world case studies with technical ethics implications.
- Responsible AI Design: Applying ethical principles during algorithm and model development.
Technical content presented in a clear and comprehensive manner.
Interactive group discussions, case study analyses, and technical scenario-based activities.
Practical exercises to apply ethical principles in AI technical design.
Q&A sessions to address participant inquiries.
In-depth understanding of AI ethics among technical participants.
Empowerment to integrate ethical considerations into technical AI work.
Alignment with the EU AI Act's ethical mandates and compliance requirements.