The afternoon session, led by Alessandro Blasimme from ETH Zurich, spotlighted key ethical issues in AI, including bias, explainability, and trustworthiness. Discussions ensued on the integration of AI into clinical practice and its impact on the doctor-patient relationship. The day concluded with a focus on emerging codes of practice and toolkits for ethically aligned AI governance. Speakers Mikael Jensen and Sara Kijewski then shared insights into available instruments for ethical AI, shedding light on Denmark's 'D-seal' strategy alongside patterns, trends, and implementation challenges.
Read about the final day here.