Deepfakes: The legal challenges of a synthetic society

The AI Act is an important European law that will impose requirements on AI, including with respect to test data, transparency and the control of outcomes by natural persons. It is essential to take this legislation into account in contracts to avoid potential legal problems. How do you address this?

In this in-depth two-day course, you'll learn all about creating and managing IT contracts. Whether you're dealing with hardware and software licensing, custom projects or the challenges of cloud contracts and data transfers, this course will provide you with the knowledge and tools to create strong, watertight agreements. Of course, the latest cybersecurity requirements are also covered.

Are you already meeting the legal requirements of the AI Act? As of Feb. 1, 2025, the European AI Act requires organizations to adequately train their staff in AI literacy. This means that depending on their role, staff must have specific knowledge about the operation and impact of AI systems, with a focus on ethics, transparency and risk management. Training should be tailored to the level of technical experience and specific use of AI within the organization so that staff can apply AI systems responsibly. In addition, the effects of AI use on internal and external stakeholders must be considered. Are you already compliant with these requirements? In this course, you will receive a thorough and accessible introduction to the world of artificial intelligence to ensure your AI literacy.

In this course you will receive insight into Artificial Intelligence from a specialized lawyer (Martin Hemmer, attorney at AKD) as well as a data scientist (Nienke Bakx, data science consultant at Datacation). Partly based on practical examples, the lecturers will discuss the legal backgrounds and pitfalls. You will work with a practical case to apply the knowledge immediately.

Ensuring privacy in the workplace has become a complex challenge. Employers have increasing opportunities to collect and use employee personal data. Often to increase efficiency but in some cases decisions can be made that have major implications for data subjects. In this course, based in part on current case law, the do's and dont's regarding privacy in the workplace will be discussed. Can you fire an employee in the event of a data breach? And what do you do if an employee has recorded conversations in connection with a labor dispute? When does the employer's interest outweigh an employee's privacy rights? How do you deal with AI in job application procedures?