The Writing an AI Usage Policy training course helps organizations turn their AI reflections into concrete, understandable and operational rules. It teaches how to define what is authorized, what must be regulated, what must be validated and what must not be done, in order to eliminate gray areas in the daily use of AI tools.
A highly practical training course to produce a genuinely usable reference document
During this training course, participants learn how to structure an AI usage policy, define its scope, clarify best practices, address confidentiality, quality, accountability, sensitive data and human validation topics, and adapt the level of formalization to their organization’s reality. The training is designed to result in an exploitable, reusable and internally distributable foundation.
Module 1: Why Formalize an AI Usage Policy
Module 2: Defining the Scope of the Policy
Module 3: Essential Sections of a Policy
Module 4: Writing Clear and Enforceable Rules
Module 5: Keeping the Policy Alive in the Organization
Module 6: Building a First Usable Version
The AI usage policy is the document that formalizes the rules, rights and responsibilities related to the use of artificial intelligence in the organization. It is the cornerstone of AI governance and the common reference for all employees.
Writing an effective AI policy requires combining technical understanding, legal framework and company culture. This document must be both precise in its requirements and accessible in its wording to be understood and applied by everyone.
A comprehensive AI policy covers several dimensions. The scope of application defines the tools and uses concerned. Guiding principles establish the values that guide AI usage. Usage rules specify what is authorized, subject to conditions or prohibited. Responsibilities assign the roles and obligations of each stakeholder.
Escalation procedures, sanctions for non-compliance and update procedures complete the framework. The policy must also include a feedback mechanism that allows users to report unforeseen situations.
Each company has specific needs when it comes to AI policy. The industry sector, organizational size, level of digital maturity and applicable regulatory framework are all factors that influence the content and level of detail of the policy.
Companies in the financial or healthcare sectors require more restrictive policies than those in the creative or technology sector. Proportionality between risks and constraints is a fundamental principle of the drafting process.
The AI policy must comply with labor law, data protection and sector-specific regulations. In Switzerland, the Federal Act on Data Protection imposes specific obligations when AI processes personal data. Consulting the legal department is essential to validate the provisions of the policy.
The question of intellectual property of AI-generated content deserves particular attention. The policy must clarify who owns AI-assisted creations and under what conditions they can be used.
Drafting the policy is only the first step. Its deployment requires adapted communication, employee training and manager support. The policy must be easily accessible, understandable and regularly updated to reflect technological and regulatory developments.
ITTA offers this training in Geneva and Lausanne to support French-speaking Swiss organizations in drafting and deploying their AI usage policy, with a proven methodology and examples adapted to the Swiss context.
Switzerland, with its tradition of regulatory rigor and its position at the crossroads of Europe, is particularly concerned by AI governance challenges. Swiss companies operating internationally must anticipate the requirements of the European AI Act while respecting the national legal framework. Implementing adapted AI governance is both a compliance obligation and a competitive advantage.
The Swiss economic fabric, composed of multinationals, innovative SMEs and public institutions, presents varied needs in terms of AI governance. The training courses delivered by ITTA in Geneva and Lausanne are designed to meet this diversity of contexts, providing tools and methodologies adaptable to each type of organization and industry sector.
Is an AI usage policy mandatory?
No law currently mandates an AI usage policy explicitly. However, obligations related to data protection, information security and due diligence make this document strongly recommended, and even necessary in certain regulated sectors.
Who should participate in drafting the policy?
Drafting ideally involves executive leadership, legal, IT, HR and representatives from user business units. This multidisciplinary approach ensures the policy is compliant, realistic and accepted by employees.
How often should the policy be updated?
An annual review is recommended, with interim updates in the event of major changes in technology, regulation or usage. The policy should include a clearly defined update process.
How can the AI policy be enforced?
Enforcement relies on training, awareness and monitoring. Technical monitoring tools complement organizational measures. Sanctions must be proportionate and clearly defined in the policy.
Can existing AI policies be used as inspiration?
Yes, many organizations publish their AI policies. The training provides examples and templates adapted to the Swiss context that serve as a foundation for drafting a customized policy.
Should the policy cover personal AI used at work?
Yes, the use of personal AI tools in a professional context, known as shadow AI, is a major data leak risk. The policy must explicitly address this question and define authorized tools and conditions of use.
Monday to Friday
8:30 AM to 6:00 PM
Tel. 058 307 73 00
ITTA
Route des jeunes 35
1227 Carouge, Suisse
Monday to Friday, from 8:30 am to 06:00 pm.
