Ethics of artificial intelligence

Why is the debate on ethics in relation to AI so pressing?

• What does AI change compared to the previous discussion about ethics?
• What are the challenges that AI presents us with?
• Where do we currently stand and what can we do?

An overview of artificial intelligence and data

• What is AI and how has it developed?
• How does AI work and what applications are already available?
• What can we expect in the coming years?
• The role of data: Availability, analyzability, structure and systems.
• The role of Computing Power - the milestones of the last decades.

Ethical challenges

• Bias in data and algorithms and its consequences.
• Reach: The global dimension of AI.
• Intent: Unethical behavior with ethical intent.
• Transparency: When is AI at work and where is its influence already active today?

An overview of ethics

• What are ethics and what are ethical standards?
• One ethic vs. many ethics and why this is a problem in relation to AI.
• What can be the basis for ethical AI?

Regulation and compliance

• Data regulation; the General Data Protection Regulation (GDPR).
• Strengths and weaknesses of the GDPR and the global view.
• AI regulation:
  • The current discussion
  • Approaches worldwide
  • Regulation in Europe
• Responsibility and liability for companies and individuals.

Operationalization of ethical AI

• What are the recommendations for action for companies in Europe and worldwide?
• What are recommendations for action for decision makers?
• Concrete approaches: What can I do from tomorrow?