The development of artificial intelligence (AI), and in particular of machine learning (ML) technologies, in workplaces is transforming the nature of work and skills. The project addresses this transformation by (1) analysing the challenges of ML systems for work practices; (2) examining skill requirements for different groups of workers interacting with ML (workers, developers and users); and (3) developing criteria for the design of work, skill formation approaches and skill-enhancing ML systems, focusing on transparency and explainability. These goals are addressed through an interdisciplinary co-design approach.
Introduction by Mira Fischer
Moderated by Steffen Huck
This lecture briefly characterizes the core of President Trump's approach to politics; places him into the broader historical context of American ethnonationalism and conservatism; and discuss the contemporary politics of white identity. In the fall of 2020 America finds itself in a profound constitutional crisis that resonates, disconcertingly, with the year 1932 and its different American and German outcomes. History does not repeat itself. But does it rhyme?
Please note that this event takes place in English only with no translation.