Algorithmic Decision Making

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The Self-Policing Effect of Automated Data Processing

23. May 2019 / Niklas Eder

The General Data Protection Regulation (GDPR) rests on the premise that the protection of personal data guarantees the protection of privacy. This premise has been subject to substantial criticism. It has been convincingly argued that with the help of algorithm-based processing of large data sets, knowledge about individuals can be inferred without violating GDPR provisions. […]

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Konrad Lischka, CC BY-SA-2.0

Nine Opportunities and Risks of Algorithmic Decision-Making

27. July 2017 / Konrad Lischka

1. Normative principles Opportunity: When an ADM process is designed, normative decisions (e.g. about fairness criteria) must be made before the process is used. This offers an opportunity to discuss ethics issues thoroughly and publically at the very start and to document decisions. Risk: ADM processes can contain hidden normative decisions. If discussion is only possible once […]

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Konrad Lischka, CC BY-SA-2.0

How to determine the potential impact of algorithmic decision-making systems

30. June 2017 / Ben Wagner, Kilian Vieth

Algorithms are increasingly making decisions with us, for us and about us – thereby giving rise to new questions about participation. This expert opinion makes a number of initial suggestions for structuring and classifying the participation-related issues stemming from algorithmic decision-making (ADM). In today’s digitized knowledge society, shaping technology is becoming a fundamental form of […]

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