Introduction

In this interactive knowledge session, you will delve into the ethical, social and legal issues associated with the use of AI. You will learn how to design and apply AI systems responsibly — with an eye for bias , explainability , transparency , inclusion and human control .

Through topical examples and discussions, you will gain insight into the ethical risks of AI, from discrimination to over-automation. You will be introduced to leading ethical frameworks such as the EU AI Act , UNESCO AI Ethics Framework and ELSA (Ethical, Legal and Societal Aspects) , and learn how to translate these into concrete strategies for designing, implementing and monitoring AI solutions.

This session combines theory with practical guidelines and is applicable to both developers and policy makers.

Learning objectives

1. Gain insight into ethical risks:

• Bias and exclusion in datasets or algorithms

• Unintentional discrimination or stereotyping

• Overconfidence in AI systems ( automation bias )

• Loss of human control and responsibility

2. Getting to know ethical frameworks and guidelines:

• EU AI Act – risk-based approach to AI systems

• UNESCO Recommendation on the Ethics of AI – global ethical standards

• ELSA – focus on Ethical, Legal and Societal Aspects

• Fundamental principles such as:
  Transparency
  Proportionality
  Explainability
  Fairness

3. Develop practical strategies for:

• Ethical design of AI systems ( ethics by design )

• Involving stakeholders in development and application

• Integrating explainability into AI decision systems

• Testing and documenting risks and decision-making

• Implementing guidelines within governance and compliance

Approach and working methods

The session consists of short knowledge blocks interspersed with interactive work forms, case discussions and group discussions. You reflect on your own practical examples or AI projects within your organization and learn which ethical considerations play a role in this.

The training can be adapted based on the sector or issues within your organization, for example:

• Use of AI in public services

• Commercial applications with customer data

• AI in recruitment and selection, decision-making or surveillance

For whom

This session is intended for policy makers, AI developers, ethics advisors, data specialists, researchers and administrators who want to use AI in a way that is responsible, transparent and socially acceptable. Suitable for both public and private organizations.

Interested in this session?

Feel free to contact us. We are happy to think along with you about a suitable interpretation focused on your team, sector or current issues within your organization.