Responsible Use of Artificial Intelligence. In-house Training course.


This training program is designed for management and business leaders, for technical professionals such as CIOs, IT managers, business and data analysts looking to better understand the issues around the ethical and responsible use of Data and AI.

There are no prerequisites for this training.

Style: Training presentation each 50 minutes, follow by 40 minutes discussion.

If you wish to train several employees at the same time and discuss company-related issues, then this in-house course is a good choice.


Course outline

This program does not require technical skills or the ability to code.

You’ll hear from a number of experts who will share their insights and opinions.

– Trustworthy AI

This session will cover the following aspects:

– Brief introduction to Artificial Intelligence, Machine Learning and Deep Learning

– Ethical implications of AI.  Key Questions

– Findings of behavioral psychology

– Ethical business

– Benefits & Risks of Artificial Intelligence

– Understanding Bias in Algorithmic Design

– Bias and Discrimination

– Risks: AI, Context and Levels of Harms

– AI and Regulations

– Trustworthy AI

– Z-Inspection® a process to assess Trustworthy AI.


(50 minutes, 40 minutes Q&A).

– Legal Relevance of Ethical Rules on AI

Ethical guidelines on Artificial Intelligence are booming at various levels and by various rule-making bodies (such as the OECD and a European High-Level Expert Group). The session will give an overview over these guidelines and their substantive content. Moreover, it will be discussed whether those ethical guidelines and principles may in fact bring about significant legal implications, despite their ethical branding.

Topics that will be covered in this session include:

  • Liability risks for non-compliance with ethical guidelines;
  • Relevance in corporate law;
  • Information and reporting duties;
  • Sanctions and supervisory issues.


(50 minutes, 40 minutes Q&A).

– Technical Privacy

Handling personal data, inevitably, generates privacy issues for the data processor. Thus, the training session focuses on developing and measuring privacy. Data and patterns, e.g., data access or query patterns, will be discussed as well as linkability and traceability.


(50 minutes, 40 minutes Q&A).

– Data Protection implications for IS/IT

This session will cover:

-Revisiting GDPR for Vertical Platforms

-A Data Strategy for EU

-Demands for Establishing Security and Reliability for Information Systems

-Towards Autonomous Systems; the Interactive Learning Algorithm and the Quest for Audit Trails


(50 minutes, 40 minutes Q&A).