AI+ Ethics Fundamentals™

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Price
Net: 397,00
VAT.: 75,43

Duration
1 day

For companies and job seekers:
this course is 100% fundable!
 

Location

Course Language
German

Training Solutions
WalkIn®

Data-driven systems are increasingly influencing social structures and economic processes. This brings with it a growing responsibility to ensure that decisions are transparent and fair. Ethical competence is becoming a key skill in the digital age.

Key topics:

  • Value-based development of AI applications
  • Handling sensitive data
  • Bias detection and prevention
  • Ethical frameworks in practice
  • Impact on society and the economy

Prerequisites
Interest in technology, strategy, and societal impact

Target Audience
Professionals in IT, business development, compliance, and consulting

Responsible AI strengthens not only systems but also brands and organizations. Those who understand ethical principles make better decisions and shape innovation in a conscious and sustainable way.

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Course Content
  • Introduction to ethical issues in AI.
  • Understanding the societal impacts of AI technologies.
  • Strategies for conducting social and ethical impact assessments.
  • Biases in Data & Algorithms
  • Strategies for Greater Fairness
  • The Importance of Transparent AI Systems
  • Techniques for explaining AI models to different stakeholders.
  • Guided projects on the design and analysis of AI systems, taking ethical aspects into account.
  • Frameworks that hold organizations accountable for the ethical use of AI.
  • Why this matters: It ensures that AI is used ethically and helps mitigate the consequences of potential misuse or harm.
  • Concepts of accountability in the development and deployment of AI.
  • Responsibilities of AI practitioners and organizations.
  • Overview of relevant laws and regulations related to AI.
  • Understanding global regulatory challenges for AI technologies.
  • Case studies: Compliance with the General Data Protection Regulation (GDPR).
  • Legal compliance of AI tools.
  • Introduction to Frameworks for Ethical Decision-Making in AI.
  • Case studies and applications of ethical decision-making.
  • Use of simulation platforms in ethical decision-making.
  • Principles and Functions of International AI Governance.
  • Best practices for integrating AI ethics into organizational policies.
  • Case studies on AI governance
  • Exploring Standards: Ethically-Driven Design by IEEE.
  • Comparative case studies on the implementation of standards.
  • Tools for evaluating AI systems based on global standards.
  • Understanding AI Agents
  • Case Studies
  • Hands-on exercises with AI agents

Frequently Asked Questions

  • An understanding of ethical AI decision-making that minimizes legal risks and builds trust—directly applicable in the workplace.
  • Because flawed or biased AI systems can cause real harm—ranging from discrimination to damage to a company’s reputation.
  • It demonstrates how to identify bias, ensure transparency, and implement responsible AI strategies.
  • For anyone who works with AI or makes decisions related to AI—from business to tech.
  • Right after the course: clear frameworks and examples for immediate application in your daily work.
  • Frameworks such as fairness checks, bias detection tools, and governance models that can be directly applied to existing AI systems.
  • They help define clear rules for AI use and implement compliance requirements in a structured manner.
  • Better decisions, less risk, and greater customer trust—measurable and immediately noticeable.

Do you have any further questions? Please contact us.