12.01 –> Introduction into AI: learn why intelligence is just a marketing claim, which AI definition is the most robust one and how to differentiate AI, machine learning, neural networks and deep learning. 19.01 –> Global Dynamics : we look at global developments and international competition in AI to provide you with necessary strategic insights where AI is leading us – insights that make your future slide decks AI strategy ready. 26.01 –> Regulatory Developments : we dive into the architecture of the EU AI Act, so you know how to navigate upcoming questions as well as the most important articles to consider now.

Responsible AI Masterclass

AI-Strategy Masterclass for C-Level Executives

Are you aware of the value of Responsible AI?

15% of AI tools are bullshit – clever AI leadership protects you from falling in the AI marketing trap — and it could be what protects your role in times of rapid technological disruption.

This class is designed to help non-technical leaders build real competence in AI strategy — and step confidently into the future as masters of responsible AI leadership.

When

Monday mornings, four blocks over eight weeks starting from January 12th

Where

Online - to help you maintain your routines and responsibilities will unlocking your AI strategy knowledge

Who

Leaders seeking clarity in AI and how to implement it responsibly

Duration

8 sessions of 1h each - so you have time to integrate while getting the key insights you need

Group Size

exclusive, save and trustworthy - 10 individuals share their Responsible AI Leaders journey.

Alexandra Wudel

“AI-Person of the Year” 2024
CEO of FemAI

AI-Strategy Masterclass

According to BCG, organizations that prioritize responsible AI experience nearly 30% fewer AI failures—a clear signal that responsibility and performance go hand in hand.

Hence, 27% of leaders say they have a major AI skill gap – we believe it is even more.

This is your safe space to grow and build a community with leaders facing similar challenges💟

AI Update - Modul 1

Where do we stand and where do we go?

Objective

Instagram won’t teach you AI. And your LinkedIn feed won’t tell you where to start.
Let’s talk about what really matters — and where to focus now.

Content

12.01 –> Introduction into AI: learn why intelligence is just a marketing claim, which AI definition is the most robust one and how to differentiate AI, machine learning, neural networks and deep learning.
19.01 –> Global Dynamics: we look at global developments and international competition in AI to provide you with necessary strategic insights where AI is leading us – insights that make your future slide decks AI strategy ready.
26.01 –> Regulatory Developments: we dive into the architecture of the EU AI Act, so you know how to navigate upcoming questions as well as the most important articles to consider now.

Methodology

Presentation of data and insights on current developments, followed by an interactive discussion and Q&A.

AI Research - Modul 2

Navigate the risks of AI to avoid the AI marketing trap

Objective

AI is everywhere – and it became a marketing game — but to lead responsibly in the AI age, we need research-backed insights into where it actually falls short to avoid falling into the AI marketing trap.

Content

Analyzing the latest developments and news related to AI failures
Understanding the origins and impact of societal bias in AI
Identifying and applying effective bias mitigation strategies

AI Strategy - Modul 3

Successful Management in the Age of AI requires the right leadership tools

Objective

Introduction of the best management and research frameworks to predict tangible business activities.

Tools

VUCA: this concepts helps manage the complexity of todays world to isolate the most pressures problems to solve
Delphi-Study: this research method is the most successful one to test your business hypothesis before executing them

Methodology

Foresight can be outsourced to agencies — but what happens when it changes quarterly in response to rapid technological disruption? I teach you how to execute it without any headache – we run through the theory of VUCA and Delphi together.

AI Excellence - Modul 4

Discuss your applied AI strategy framework

Objective

In the final part, we will work together to contextualize and summarize the workshop insights, applying what we’ve learned to your specific business context.

Methodology

This is your homework. You will take time to think deeply how the VUCA framework can help you define the right hypothesis to falsify and verify what to focus on in your AI strategy.