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Being scored but informed – how to boost people´s risk literacy for public discourse | bpb.de

Being scored but informed – how to boost people´s risk literacy for public discourse Super-Scoring? Data-driven societal technologies in China and Western-style democracies as a new challenge for education

von: Felix G. Rebitschek (Harding Center for Risk Literacy)

I do not need to know how a bus works, for taking the bus!? – Wrong! Algorithm sovereignty actually is about being the object of others’ analyses, or better, about putting control on that. Felix G. Rebitscheck focuses in his talk on the importance of risk literacy and the necessity to understand algorithm performance.

Inhalt

Accordingly, my presentation will be guided along the main objections against efforts to build up algorithm sovereignty of the general population.

  • Most citizens would not be aware of scoring issues.

  • Most citizens would not be interested in scoring algorithms.

  • Most citizens could not be taught about scoring algorithms.

  • It would not be relevant to teach citizens about scoring algorithms.

  • Aiming at scoring-empowered citizens would be like cosmetics undermining regulatory efforts.

What is algorithm sovereignty? It does not mean to strengthen sovereignty of users, for instance by increasing self-control in using digital services. It does not mean to strengthen data sovereignty, for instance by giving an actually informed consent in data processing. It is even not about information sovereignty, how people find appropriate and quality-assured information. Algorithm sovereignty actually is about being the object of others’ analyses, or better, about putting control on that.

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  • Produktion: 11.10.2019

  • Spieldauer: 24 Min.

  • hrsg. von: Bundeszentrale für politische Bildung/bpb

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Dieser Text und Medieninhalt sind unter der Creative Commons Lizenz "CC BY-NC-ND 4.0 - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International" veröffentlicht. Autor/-in: Felix G. Rebitschek (Harding Center for Risk Literacy) für bpb.de

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