The handbook
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Handbooks · Volume 1
AI in the Company
The handbook for company management: the basics, introducing AI in the business, the legal and standards framework.
- 19 sections in 4 parts, the last part is the appendix with 5 sections
- Online reading access via your personal link
- Full handbook as a PDF
- Self-assessment worksheet as a separate PDF
€49.00incl. VAT. One-off payment, no subscription.
Free to read: Purpose and structure, Contents, The term and its delimitation.
The contents
19 sections in 4 parts, the last part is the appendix with 5 sections. Free to read: Purpose and structure, Contents, The term and its delimitation.
Part I · Sections 1 – 3
Fundamentals
- 03The term and its delimitation
- 04Providers, tools and costs
- 05Capability, limits and rights in the output
Part II · Sections 4 – 7
Introducing AI in the company
- 06Fields of application by functional area
- 07Stages of technical integration
- 08Procedure for introduction
- 09Internal rules and training
Part III · Sections 8 – 14
Legal and standards framework
- 10Roles and responsibilities
- 11Scope and time limits of the AI Act
- 12Transparency obligations
- 13Data protection
- 14Information security
- 15International standards and frameworks
- 16Supervision and penalties
Part IV · Sections 15 – 19
Appendix
- 17Maturity self-assessment
- 18Statements not made
- 19Open questions
- 20Glossary
- 21List of sources
Sample
The beginning of Section 1, unchanged from the handbook. The source lines are in the reading sample.
The term and its delimitation
The term “artificial intelligence” is used differently in everyday language, in law and in official statistics. Where the levels are mixed, misjudgements arise as to the extent of one’s own obligations.
In everyday language, “AI” usually denotes a text-based chat system such as ChatGPT. This usage is widespread, but has neither legal nor statistical significance.
In law, the definition in Article 3(1) of the AI Act applies. Under that provision, an AI system is a machine-based system that is operated with varying degrees of autonomy, that may be adaptive after deployment and that infers, from the input it receives, how to generate outputs — predictions, content, recommendations or decisions that can influence physical or virtual environments.
The decisive element of the definition is inference. A system that derives from inputs how it is to respond falls within the definition. A system that executes exclusively rules laid down in advance does not, as a rule.
Official statistics, in turn, measure technologies: text analysis, image recognition, speech recognition, language generation, machine learning. The survey unit is enterprises with ten or more employees. This classification is not a legal definition and was never intended as one.
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