Join Dan Bogdanov and Liina Kamm, Senior Researcher at Cybernetica, as they explore the complex world of AI bias in this episode of Science Will Make You Happy. Discover how bias creeps into AI systems, from translation engines to large language models, and learn practical approaches to identifying and mitigating these issues in your own projects. From the infamous Dutch SyRI case to everyday chatbot interactions, this conversation covers the full spectrum of AI bias challenges facing organisations today.

According to Cybernetica's Chief Scientific Officer Dan Bogdanov, we have cybersecurity because computers were invented the "wrong" way. Due to the ability of computers to make communication and copying of data easy, computers inherently are open to breaches and, thus, extra restrictions need to be made in order to minimise risks. Enter Trusted Execution Environments (TEEs). A TEE is like a secure vault within your device, ensuring confidentiality and integrity even if other parts of the system are compromised. In this episode, Dan and Cybernetica's Software Architect Armin Daniel Kisand take the TEE technology apart from an engineering perspective – tune in to learn how it works, what are some specific applications, can you fool it and still execute a successful breach, and much more!

In this episode of Science Will Make You Happy, Dan Bogdanov, Chief Scientific Officer at Cybernetica, and Jan Villemson, Senior Researcher at Cybernetica, explore the essential role cryptography plays in securing our digital world, as well as the rising field of post-quantum cryptography (PQC). As advancements in quantum computing continue, they pose a significant challenge to traditional encryption methods. In this discussion, Dan and Jan examine the implications for our security, how soon quantum computers might break current encryption, and why service providers are increasingly moving toward PQC solutions.

In this episode of Science Will Make You Happy, Dan Bogdanov, Chief Scientific Officer at Cybernetica is joined by Liina Kamm, Senior Researcher at Cybernetica, to explore the critical intersection of security, privacy, and artificial intelligence. They dive into the challenges of protecting sensitive information in AI systems, discussing strategies for effective risk management and ensuring compliance with regulations like the General Data Protection Regulation (GDPR). Tune in as they break down the complexities of building secure AI technologies while maintaining user privacy in a rapidly evolving digital landscape.