AI skills training, AI webinars and AI workshops for companies
Article 4 of the AI Act obliges all providers and operators of AI systems to develop in-house AI expertise. This obligation applies regardless of the size of the company or the risk class of the AI system used.
All companies that use artificial intelligence are already obliged to act. Our lawyers will support you with legally sound, practical IT training and individually designed workshops.
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Our AI training services for companies:
- Conception of customised AI training courses taking into account the specific company structures and AI systems used
- Conducting basic AI training for all employees
- Implementation of specialised AI training for user groups such as HR, IT, sales, marketing, purchasing, etc.
You can find detailed content and legal background information on our AI skills training in our blog post: Building AI skills in your company
AI training for works councils
Works councils have a particular need for information in relation to the use of AI, as they play a central role in protecting the interests of employees.
The introduction of AI systems can have a profound impact on work processes and conditions. Works councils must therefore be fully informed about the functionalities, risks and legal framework conditions in order to negotiate with management on an equal footing and effectively represent the interests of the workforce.
Only sound knowledge of artificial intelligence enables responsible co-determination.
Our AI training courses for works councils cover the following topics, among others
- Technical basics of AI
- What is AI - and how can it be recognised?
- Risks and challenges in the use of AI
- AI and data protection
- Issues relating to works constitution law
- AI and labour law
- Practical examples: AI systems in the HR department
- Development and drafting of AI works agreements
AI webinars for companies
Our AI webinars are aimed at smaller, topic-specific groups of participants - for example the HR department, purchasing or marketing/sales - and offer a targeted transfer of knowledge on current AI applications in the corporate context.
Examples of topics covered in our AI webinars for companies:
AI in recruiting
Automated application processes with the use of artificial intelligence, chatbots in communication with applicants, bias detection, legal pitfalls and prohibited practices in the context of artificial intelligence, practical examples of AI use in companies.
People Analytics & AI
AI-supported analyses of employee retention, performance and fluctuation - including data protection and ethical aspects.
AI in purchasing
Risks in the use of AI, selection of suitable AI systems, licence issues and contractual principles.
Contact us if you are planning customised AI training courses, IT workshops or specialised AI training for your company, your managers or the works council - we will support you in building up legally compliant and practical AI expertise in your company.
Your partner
Lawyer Michaela Berger, LL.M.
Certified Specialist in IT law
certified data protection officer (TÜV Süd)
certified data protection auditor (TÜV Süd)
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FAQ – AI competence training for companies
Yes. Article 4 of the AI Regulation (AI-VO / AI Act) obliges providers and operators of AI systems to build up sufficient AI competence within their companies. This training obligation applies regardless of the size of the company or the risk class of the AI system used.
AI competence encompasses the technical, legal and organisational understanding of AI systems. Employees must be familiar with the functioning, risks, limitations and regulatory requirements (e.g. data protection, transparency, human oversight) in order to use AI systems responsibly.
Basically, all companies that use artificial intelligence – whether in recruiting, marketing, purchasing, production or human resources management. As soon as AI systems are used or operated, the obligation to build AI competence under Article 4 of the AI Regulation applies.
Professional AI training courses cover the technical basics of AI, the legal framework (AI Regulation, GDPR, labour law), risk classifications, prohibited practices, transparency obligations and specific use cases in the company. The aim is to implement AI projects in a legally compliant and practical manner.
Departments such as HR, IT, marketing, and purchasing have different points of contact with AI systems. Specific AI workshops or AI webinars enable targeted in-depth learning – for example, on AI in recruiting, people analytics, AI-supported contract analysis, or licensing issues in AI purchasing.
Works councils need in-depth knowledge of co-determination rights (Section 87 (1) No. 6 BetrVG), data protection, performance and behaviour monitoring, and the drafting of AI works agreements. Only with sound AI expertise can they effectively fulfil their legal role in the introduction of AI systems.
Typical topics include AI in recruiting (e.g. automated application processes), people analytics, AI in purchasing, data protection risks, bias and non-discrimination, transparency obligations under the AI Regulation, and legal pitfalls in AI projects.
Usually not. As both the technology and the regulatory environment (e.g. AI Regulation, GDPR, case law) are developing dynamically, AI competence training should be regularly updated and repeated.
As part of AI compliance, training measures should be documented, for example through certificates of attendance, training concepts and internal guidelines. Clear documentation can be crucial in the event of audits or regulatory reviews.
A lack of AI competence can lead to data protection violations, incorrect decisions, discrimination risks, violations of the AI Regulation, and damage to liability and reputation. AI training courses are therefore a central component of a functioning AI compliance system.
Legally sound AI training combines technical understanding with regulatory requirements from AI law, data protection law and labour law. It not only teaches how AI works, but also what legal limits and obligations must be observed when using AI in a company.
As soon as AI systems are planned or deployed, the development of AI skills should begin. Raising employee awareness at an early stage facilitates the legally compliant introduction of AI projects and strengthens the company-wide compliance structure.