Can AI systems be trusted?
From processing loan applications to curing cancer, the hype around AI promises to solve all of our problems – and to make us obsolete at the same time. Yet the field is plagued by reliability and safety concerns.
In this webinar, we will discuss how to design AI systems with quality, security and trust in mind.
We will address:
⏺ is AI really the right solution for your problem?
⏺ thinking outside the LLM box: what kind of AI should you use?
⏺ what are the potential pitfalls for different kinds of AI systems?
⏺ what kind of safeguards are available?
Mariya Lysenkova Wiklander
Senior Software and Machine Learning Engineer
About the speaker
Over the past twenty years, Mariya has architected and developed software for a wide range of organizations, from international companies and startups to biotech facilities and government institutions. She is currently finishing a PhD in applied machine learning at Uppsala University, using explainable AI to untangle the genetics of childhood leukemia. Her latest project involves implementing statistical performance guarantees for cancer machine learning models.