Hidden behind the promises of "artificial" intelligence or "machine" learning is a large workforce of microworkers managed by internet platforms doing the necessary data work that powers the AI industry. Human labour is not only needed to train the algorithmic models but also to verify them. In some cases, humans even replace the algorithms, creating what has been called "fauxtomation". While...
There is an intensive debate on how we should deal with AI-based systems. But at the same time, there are many areas whose degree of digitalization is (still) low. In my contribution I would therefore like to focus on the process of documentation in digital client record systems in social work. Between January and June 2020, I conducted 20 guideline-based interviews with experts working either...
In hospitals, courts, banks, cars, algorithms decide over increasing aspects of our lives. Scientists as well as the public are concerned that, by negligent design or in unforeseen circumstances, these artificial intelligence systems may come to treat us unfairly. But how fairly are we inclined to treat them? Evidence from behavioral game theory shows that despite the risks of losing out or of...
