Critical AI Literacy for Executives
Leading people instead of following machines
Description
Audience
Designed for high-level decision-makers, strategic leads, and executives, this training addresses those who refuse to sacrifice ethics or organizational sovereignty when considering AI usage. The course does not focus on any specific industry and covers both for-profit and non-profit organizations.
Relevance
Many businesses are facing pressure from the "AI-inevitability" marketing narrative, which often promise outcomes that are questionable in practice. This training emphasizes choices and options for businesses in a structured way.
While "Responsible AI" typically focuses on mitigating harm that may arise from AI usage, Critical AI Literacy questions the necessity and impact of AI usage itself. It establishes the foundational considerations required to decide not just how to use AI, but whether to use it at all for specific use cases. This approach ensures that technology serves human strategy rather than prescribing the technology.
Objectives
This workshop provides participants with the decision-making frameworks required to evaluate AI through the lens of power, labor, and human agency. Participants will learn when to integrate AI into their operations -- and when not -- without compromising core organizational values, human expertise, or strategic autonomy.
Contents
- Overview of ethical issues and approaches to AI
- Contrasting "responsible AI" approaches and Critical AI Literacy
- Practical AI ethics for the enterprise: from environmental footprints, to work culture and business impact
- Applying Critical AI Literacy frameworks to business strategy
- Case Studies: Human-centric leadership under automation pressure
- Decision-making protocols for AI (non-)utilization
Methods
This is an interactive workshop that combines teaching of concise theoretical foundations and high-level case studies, with group work.
While grounded in the latest research, the workshop focuses on practical business implications and strategic application rather than academic theory.
Trainers
The trainer combines high-level technical expertise, philosophical rigor, and applied business experience.
Prerequisites
- No programming or data analysis experience required.
- An open mind with regards to the benefits and drawbacks of AI.
Attestation
You will receive an attestation of attendance at the end of the course.
Practical information
Price
CHF 450
Date and registration
1 session of 4 hours
Next sessions:On demand
Place
Geneva
Mode
In-person training
Language
English
FAQ
In order to ensure that this is the right course for you, we will call you by telephone to assess your needs and your technical level before confirming any course reservation.
Registering for a course involves three steps:
- Make a reservation through our website or by contacting us directly.
- A free, short assessment call (max. 15 minutes) to validate that the course fits your requirements.
- Payment of the course.
Please note that you must pay at latest 5 days before the course, in order for your registration to valid.
This course is not eligible for a Cheque Annuel de Formation (CAF).
This course is available as an internal enterprise training, subject to different conditions. Contact us to discuss your requirements.
