AI+ Ethics™

Price
Net: 397,00 €
VAT.: 75,43 €

Duration
1 day

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

Location

Course Language
English

Training Solutions
WalkIn^®

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A modern guide to responsible AI applications provides an understanding of how technical innovation and ethical standards interact. The focus is on current developments, real-world decision-making areas, and trends relating to responsible AI.

Key topics

Basic AI principles and ethical guidelines.
Dealing with bias, fairness, and transparency.
Risk assessment and responsible decision-making models.
Data protection, regulation, and governance.
Future trends in trustworthy AI.

Prerequisites
Basic understanding of digital technologies and interest in ethical issues surrounding AI.

Target group
Professionals from business, technology, or management who want to use AI safely, thoughtfully, and responsibly.

Ethically sound AI strengthens trust, efficiency, and future viability. The content provides a clear perspective on modern, responsible, and sustainable AI integration.

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course content

Overview of AI ethics and societal implications

Introduction to ethical considerations regarding AI.
Understanding the societal impact of AI technologies.
Strategies for conducting social and ethical impact assessments.

Prejudice and fairness in AI

Research into biases in data and algorithms.
Strategies for mitigating bias and ensuring fairness in AI systems.

Transparency and explainable AI

The importance of transparent AI systems.
Techniques for explaining AI models to various interest groups.
Guided projects on the design and analysis of AI systems from an ethical perspective.

Data protection and security issues in AI

Examination of frameworks to hold organizations accountable for the ethical use of AI.
Why this is important: Ensures the ethical use of AI and helps mitigate the consequences of potential misuse or harm.

Accountability and responsibility

Concepts of responsibility in AI development and implementation.
Responsibilities of AI practitioners and organizations.

Legal and regulatory issues

Overview of relevant laws and regulations relating to AI.
Understanding global regulatory issues for AI technologies.
Case studies: GDPR compliance.
Legal compliance of AI tools.

Frameworks for ethical decision-making

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.

AI governance and best practices

Principles and functions of international AI governance.
Best practices for integrating AI ethics into corporate policy.
Case studies on AI governance.

Global AI ethics standards

Exploring standards: IEEE's ethically oriented design.
Comparative case studies on standard implementations.
Tools for evaluating AI systems based on global standards.

Optional module: AI agents for ethics and their implications

Understanding AI agents
Case studies
Practical exercises with AI agents

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently asked questions

What exactly does AI+ Ethics™ teach?

AI+ Ethics™ demonstrates how ethical principles can be specifically integrated into AI projects—in a practical, legally compliant, and future-oriented manner.

Why is AI+ Ethics™ so relevant today?

AI is becoming commonplace. AI+ Ethics™ empowers you to take responsibility, identify risks, and build trust in AI systems.

Who is AI+ Ethics™ particularly suitable for?

Ideal for anyone who uses, controls, or regulates AI—whether in IT, management, law, research, or product development.

What advantages does AI+ Ethics™ offer in everyday working life?

Better project decisions, greater awareness of AI risks, clear ethical guidelines, preparation for upcoming regulations.

Is AI+ Ethics™ understandable even without prior knowledge?

Yes. Technical terms are explained, content is structured, and numerous real-life examples make complex topics accessible.

Which tools are used?

The course demonstrates practical tools such as AI4People, IBM AI Fairness 360, and IBM AI Explainability 360 for analyzing fairness, transparency, and ethical AI design.

What makes AI+ Ethics™ particularly valuable for companies?