How can data systems be created that consider equity as an essential objective? What role do cultural influences play in the development of artificial intelligence (AI)? What has to change in education to raise awareness of the opportunities and risks of AI?
The goal of the lecture series is to examine different perspectives on the societal effects of technologies using AI and Big Data. It is intended to help institutions and individuals in the responsible development and implementation of AI. Consequently, the course is also addressing (future) researchers, politicians and company managers.
Along with TUM and New York University, participants include scientists from Imperial College London, the University of Tokyo and the Kwame Nkrumah University of Science and Technology (KNUST) in Ghana, among other institutions. Each module consists of a video lecture in English and supplementary material such as podcasts, texts and other videos.
Providing orientation amid uncertainty
At the TUM Institute for Ethics in Artificial Intelligence (IEAI), established in 2019, scientists from disciplines ranging from ethics to engineering, natural sciences, social sciences and medicine work in interdisciplinary teams to investigate the ethical implications of artificial intelligence in numerous application areas. The IEAI took a leading role last year in creating the Global AI Ethics Consortium (GAIEC). Members of different academic institutions, joined forces in order to create ethical frameworks, help to navigate current uncertainty, allow trust in data and technology and maximize the potential of AI while limiting its harms.