Lecture Doris Allhutter - "Algorithmic Welfare. Citizen Profiling in the Public Sector"
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In recent years, a number of European countries have made attempts to introduce data-based decision-support systems in public job services. To make use of the "knowledge in data", agencies such as the Public Employment Service Austria (AMS) have been working on the algorithmic profiling of job seekers. This talk of the "JKU Lecture Series Artificial Intelligence" shows how the design of the AMS-algorithm is influenced by technical affordances, and most importantly by social values, norms, and interests of different stakeholders. A discussion of the tensions, challenges and biases that the system entails calls into question the objectivity and neutrality of data claims and of high hopes pinned on evidence-based decision-making.
Doris Allhutter is a senior scientist in science and technology studies at the Institute of Technology Assessment of the Austrian Academy of Sciences, Vienna (ÖAW).