The European General Data Protection Regulation and the AI Act are similar in many respects, but also have some important differences that companies should be aware of.
Decision-making by artificial intelligence is severely limited by the GDPR. Biases in the training data pose a further challenge. How can companies still use AI for decision-making?
How can the development and use of generative artificial intelligence be regulated in future in such a way that data protection and other fundamental rights are safeguarded? We summarise and categorise the German supervisory authority proposals.
How to find the right legal basis for processing personal data using artificial intelligence.
The EU’s regulation of artificial intelligence – a brief overview of the AI systems covered and the corresponding obligations of the involved companies.
In our practical guide, you will learn how to configure ChatGPT from OpenAI to be as GDPR-compliant as possible and what else you need to consider for data protection.
What are the dangers of systematic bias in AI – and how can companies design their AI systems in such a way that they favour or disadvantage as few people as possible?
How can companies effectively protect themselves against deepfake attacks? What about the liability of employees and employers in the event of a successful deepfake attack? An overview!
The CNIL is publicising how it intends to monitor and regulate the development and handling of generative AI in the EU.
The French data protection authority provides companies with detailed information on self-assessment and GDPR-compliant design of artificial intelligence. We explain what it’s all about.
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