Future-oriented types of contracts in IT law

In IT law there are a number of new and future-oriented types of contract, who meet the constantly changing requirements of the digital world. These contracts take into account the developments in the areas of cloud computing in particular, Artificial intelligence (Of), Big Data, Internet of Things (IoT) and blockchain. Some of these types of contracts are explained comprehensively below: 1. Cloud Computing Treaty Cloud Computing Treaties regulate the provision and use of IT resources via the Internet. They are particularly relevant, Since more and more companies are relying on cloud services, To ensure flexibility and scalability. 2. Of- and algorithm contracts with the increasing use of AI and algorithm-based systems are created new forms of contract, The specific challenges such as liability, Add transparency and intellectual property to address. 3....

14th Jan 2025
AI law in IT law

AI law in IT law

AI law brings with it a number of new legal challenges for IT law. These arise from the specific properties of AI systems, like autonomy, Complexity and data dependency. The following are the main legal challenges, practical examples and the role of lawyers in this context are presented: 1. Liability issues with AI systems 2. Data protection and data processing 3. Bias and discrimination 4. Copyright and Intellectual Property 5. Transparency and traceability 6. Regulation and compliance 7. Contract drafting and liability clauses IT law and AI law Lawyers in the field of IT- and AI law play a key role, to minimize legal risks and provide clients with legal advice in an increasingly technological world. Your tasks range from contract drafting and compliance advice to....

26th Oct 2023
What regulation for artificial intelligence is the EU planning??

What regulation for artificial intelligence is the EU planning??

The European Commission has a white paper on artificial intelligence (Of) published. This white paper provides a comprehensive strategy and proposal for regulating AI in the European Union. Key elements of the White Paper included:: Classification of AI systems: The white paper proposed classifying AI systems into different categories, based on their risk level. This involved high-risk AI systems (with. B. autonomous driving, Healthcare) and lower risk for AI systems (with. B. Chatbots) differentiated. Regulation of high-risk AI systems: Stricter regulatory requirements have been proposed for high-risk AI systems, including certification requirements, transparency- and documentation requirements as well as clear regulations for monitoring and testing these systems. Data access and data provision: The white paper also emphasized fair access to data and....