Artificial intelligence (AI)

An artificial intelligence system is able to adapt to new environments and to change. The feature “deep machine learning” better meets the phenomenon of AI. For AI systems, their behavior can not be predicted. This unpredictability leads to a variety of legal issues and technical requirements. Due to the unpredictability of the behavior of the systems used, the transparency of the IT systems is lost for users and users (black box). Systems with artificial intelligence have to be trained and their behavior must be based on a solid database. The quality of data quality is critical to the quality of the artificial intelligence system. Furthermore, complex and differentiated algorithms are required to ensure the training of the AI system at a high qualitative and quantitative level and to ensure continuous learning of the AI system. If you want to develop, deploy or market IT systems with artificial intelligence, we can support and advise you, in particular on the following topics:

  • Copyright protection, business secret protection, infringement and algorithmic discrimination
  • Copyright protection in deep learning as a work and database, business secret law, rights to learned data
  • Embedded systems and liability in robotics
  • Security and liability in cyborgs
  • Acquisition of data, data trading, responsibility and influence of persons in political decision-making and microtargeting
  • Artificial intelligence in the HR recruiting process, occupational health and safety, technical requirements through labor law and transfer of the right of director
  • Autonomous driving in the different degrees of automation
  • Areas of application, legal issues and crowdfunding in the context of Collective Intelligence
  • Liability for IT systems with artificial intelligence, especially manufacturer obligations, product monitoring obligations, reaction obligations, recall obligations, burden of proof, tort liability, product liability, AI as a vicarious agent, maintenance contracts, liability for defects, obligations and technical standards, types of damage, limitation of liability, property rights of third parties, operator liability
  • Artificial intelligence with legal personality
  • Data protection framework for machine learning
  • Automated decisions “scoring / profiling”
  • Order processing in IT systems with artificial intelligence
  • Video surveillance
  • Data Protection by Design and by Default
  • Privacy Impact Assessment
  • Legal background to the “Super Code”, Embedded Law and Rulemapping
  • Laws of Robotics
  • Application of the “Super Code”