Algorithmic Decision Making

This tag contains 8 Posts

Automating Society Report: Increased deployment of automated decision-making: Transparency, oversight and competence are still lacking

28. October 2020 / Julia Gundlach, Dr. Sarah Fischer

Over 100 use cases of automated decision-making systems in 16 European countries have been compiled by a research network for the 2020 edition of the Automating Society report by Bertelsmann Stiftung and AlgorithmWatch. The report shows: Even though algorithmic systems are increasingly being used by public administration and private companies, there is still a lack […]

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Photo by Jonathan Velasquez on Unsplash

3 questions for … Marina Jirotka and Helena Webb

18. July 2019 / Viktoria Grzymek 

Marina Jirotka (Professor of Human Centred Computing) and Helena Webb (Senior Researcher) work at the University of Oxford’s Department of Computer Science, in the Human Centred Computing theme. From 2016 to 2018 they participated in the research project “UnBias: Emancipating Users Against Algorithmic Biases for a Trusted Digital Economy”, a collaboration with the Universities of […]

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Automated Decisions: Europe must speak with one voice

11. June 2019 / Ralph Müller-Eiselt, Lajla Fetic

Automated decisions have become a part of many Europeans’ daily lives. Whether for job searches in Finland, healthcare functions in Italy, or the identification of neglected children in Denmark, such systems are coming into use in many EU countries – often for core public-administration functions. Will the EU be able to develop a common response […]

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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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