Ethics of Algorithms | Künstliche Intelligenz im Dienst der Gesellschaft

Guardians of Global Knowledge: How Automated Helpers Protect Wikipedia

8. November 2017 / Torsten Kleinz

Not only is the online encyclopedia Wikipedia an indispensable platform for open knowledge on the Internet, it is also a prime example of how people and algorithms work together hand in hand. After all, numerous bots assist the site’s volunteer editors while also keeping “vandals” at bay.

The Sounds of Earth Record Cover, NASA Commons, https://flic.kr/p/fq2Wjo

Nine corrective responses to Algorithmic Decision-Making

31. July 2017 / Konrad Lischka, Anita Klingel

Processes of algorithmic decision-making (ADM) now evaluate people in many areas of life. To take advantage of the opportunities ADM offers in the area of participation, one overall goal must be set when ADM processes are planned, designed and implemented: ensuring that participation actually increases. If this is not the case, the use of these […]

Video: What we really know about filter bubbles

/ Konrad Lischka, Christian Stöcker

Talk, presented in German on May 10th at re:publica in Berlin with Christian Stöcker (dubbed version below) Intermediaries like Facebook judge the relevance of content based on the public’s immediate reaction to a much greater degree than do traditional media. Use of these intermediaries for forming public opinion is leading to a structural change in public […]

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 […]

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 […]

Almost everything you need to know about the digital public sphere

28. June 2017 / Konrad Lischka, Christian Stöcker

We try to condense the 90+ pages of our paper “Digitale Öffentlichkeit” (full version in German: DOI 10.11586/2017028) to a short summary below that answers three key questions: Media transformation: How is public discourse changing because of the new digital platforms through which many people now receive socially relevant information? Social consequences: In terms of […]

The digital public – How algorithmic processes influence social discourse

19. June 2017 / Konrad Lischka, Christian Stöcker

Essentially this paper answers three key questions relating to public communication and opinion in the digital age: 1. Media transformation: How is public discourse changing because of the new digital platforms through which many people now receive socially relevant information? When all age groups are considered, intermediaries driven by algorithmic processes, such as Google and […]

Calculating participation – How algorithmic processes impact opportunities to be part of society

2. June 2017 / Kilian Vieth, Ben Wagner

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 so-ciety, shaping technology is becoming a fundamental form of […]

When Machines Judge People – International Case Studies of Algorithmic Decision-making

2. May 2017 / Konrad Lischka, Anita Klingel

Processes of algorithmic decision-making (ADM) now evaluate people in many areas of life. ADM processes have been used for years to categorize people, without any real discussion of whether those processes are fair or how they can be explained, verified or corrected. One potential reason for this is that the systems have little to do […]

Scheinbar intelligente Maschinen sind längst Teil unseres Lebens. Sie helfen Ärzten bei Krebsdiagnosen, schicken Polizisten auf Verbrecherjagd und suchen für Personalabteilungen geeignete Bewerber aus. Wir müssen deshalb das Verhältnis von Mensch und Maschine neu bewerten. Wie wirkt Künstliche Intelligenz auf uns und unsere Gesellschaft? Wo können uns Algorithmen bereichern, wo gilt es, drohenden Gefahren entgegen zu wirken?

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