Critical AI Literacy for Executives
Leading people instead of following machines
Description
Public
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.
Pertinence
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.
Objectifs
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.
Contenu
- 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
Méthodes
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.
Formateurs
The trainer combines high-level technical expertise, philosophical rigor, and applied business experience.
Prérequis
- 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.
Informations pratiques
Prix
CHF 450
Date et inscription
1 session à 4 heures
Prochaines sessions :Sur demande
Lieu
Genève
Mode
Formation en présentiel
Langue
Anglais
FAQ
Afin d'assurer que cette formation vous convient, nous vous contacterons par téléphone pour évaluer vos besoins et votre niveau technique avant de confirmer toute réservation.
L'inscription à une formation se déroule en trois étapes :
- Effectuez une réservation via notre site internet ou en nous contactant directement.
- Un court entretien d'évaluation gratuit (max. 15 minutes) pour confirmer que la formation correspond à vos besoins.
- Le règlement de la formation.
Veuillez noter que le paiement doit être effectué au plus tard 5 jours avant le début de la formation pour que votre inscription soit valide.
Les cours offerts par Nodal Turn ne peuvent actuellement pas être payés avec un chèque annuel de formation.
Oui, nous pouvons adapter cette formation à une formation interne en entreprise, sous réserve de conditions particulières. Contactez-nous pour discuter de vos besoins.
