AI Implementation in the Organisation. Normative Analysis, Risk Assessment and Compliance Assurance Methodology

This publication provides a comprehensive discussion of issues related to the safe and legally compliant implementation of AI systems in organisations. The author, an experienced advocate and expert in new technology law, guides the reader step by step through the entire implementation process, from identifying business processes and assets, through risk assessment and real return on investment (ROI), to technical measures and system maintenance. The book addresses the problem of the so-called Lex-Machina gap by effectively translating the language of complex legal provisions into concrete solutions and safeguards in IT systems.

The book answers, among others, the following questions:

• What are the key differences in liability between an organisation acting as a deployer of an AI system and an organisation acting as its provider?
• How should a risk assessment for AI systems be prepared and conducted, step by step?
• How can complex legal provisions be translated into hard barriers and configurations in IT code?
• How can unauthorised AI tools used covertly by employees be effectively detected, and what should be done with them?
• How should processes be properly documented to create a credible defense file in the event of a regulatory inspection or court dispute?
• How should the work of a team be organised to ensure effective human oversight of an AI system in practice, rather than only on paper?
• How can the business value of an AI tool and its return on investment (ROI) be assessed, while intelligently combining innovation with legal requirements?