22. November 2021

DATAETHICS Winter School

5-day course online and virtual collaboration on „HEALTH DATA EMPOWERMENT and ARTIFICIAL INTELLIGENCE: Ethical dilemmas, advantages and challenges.”

Deadline for Applications: 12:00 Central European Time (CET) on Friday, 17 December 2021

More information at: https://www.dataethics-eurolife.eu/events/dataethics-winter-school-2021/ 

You will also network with fellow students and thematic experts from the nine leading European institutions in Eurolife.

THEME SUMMARY

Digitalization is a key initiative in everyday life, including healthcare. Within this, one of the most promising and disruptive technologies is Artificial Intelligence (AI). AI has started to play an increasingly important role in daily medical practice. AI agents have already shown that they can match or even outperform human professionals in determining the best treatments for, amongst others, cancer patients. However, as new data science and AI technologies are being developed and tested, concerns have arisen regarding their ethical, societal and legal implications, as well as their susceptibility to errors. These include issues concerning clinical accuracy and safety, transparency, security, accountability, data privacy and fairness. This Winter School will offer a unique set of lectures and activities enabling participants to familiarise themselves with the value chain of ethical, social and legal considerations in the field of biomedical AI solutions.

TARGET GROUP: Bachelor, master and doctoral students in medicine, biomedicine, life sciences and other fields of study related to ethical, legal and social issues in medicine.

Wir nutzen Cookies auf unserer Website. Einige von ihnen sind essenziell für den Betrieb der Seite, während andere uns helfen, diese Website und die Nutzererfahrung zu verbessern (Tracking Cookies). Sie können selbst entscheiden, ob Sie die Cookies zulassen möchten. Bitte beachten Sie, dass bei einer Ablehnung womöglich nicht mehr alle Funktionalitäten der Seite zur Verfügung stehen.