Speaker: Jack Coopey 

The AI expert examines the ethical challenges posed by the rapid progress in AI and machine learning. Topics such as algorithmic bias, transparency, accountability and the societal impact of autonomous systems will be in focus. Participants will gain insights into the tension between innovation, fairness and inclusion as well as the ethical principles for the future of AI.

Speaker: Till Dettmering 

The director and expert for digitalization in medtech and laboratories sheds light on how fragmented data management slows down the efficiency of laboratories as innovation drivers and impedes the use of AI. Many struggle with unstructured data, which creates silos and makes collaboration more difficult. The expert shows how digital data collection transforms scattered information into strategic value, creating the basis for the efficient use of AI, improved collaboration and optimized research processes.