Ethics of Algorithms | Künstliche Intelligenz im Dienst der Gesellschaft

When Machines Judge People

20. December 2017 / Ralph Müller-Eiselt

Last week, I spoke about the impact of artificial intelligence and algorithmic decision making on societies and education at the Global Learning Network Convening 2017 organized by America Achieves in Boston. It is a fine line between the promise of better opportunities for all and the peril of increasing social inequality by using such new […]

Where algorithms replace, complement and inspire Wikipedia’s authors

7. December 2017 / Torsten Kleinz

The Wikimedia Foundation wants to create a knowledge platform that goes beyond encyclopedia entries. It wants to achieve that goal using bots and similar technologies. But what role will human authors play?

“My Colleague the Robot” – How People and Automated Assistants Work Together at Wikipedia.

6. December 2017 / Torsten Kleinz

Bots take care of many routine tasks at Wikipedia. The automated assistants greatly influence how the community interacts at the online encyclopedia. Wikipedians have learned to respond to the social effects of algorithms – for example by creating their own bot policy.

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 […]

ABOUT US

With its „Ethics of Algorithms“ project, the Bertelsmann Stiftung is taking a close look at the consequences of algorithmic decision-making in society with the goal of ensuring that these systems are used to serve society. We aim to help inform and advance algorithmic systems that facilitate greater social inclusion. This involves committing to what is best for a society rather than what’s technically possible – so that machine-informed decisions can best serve humankind.

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When Machines Judge People

Where algorithms replace, complement and inspire Wikipedia’s authors

“My Colleague the Robot” – How People and Automated Assistants Work Together at Wikipedia.

Guardians of Global Knowledge: How Automated Helpers Protect Wikipedia

Nine corrective responses to Algorithmic Decision-Making

Video: What we really know about filter bubbles

Nine Opportunities and Risks of Algorithmic Decision-Making

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

Almost everything you need to know about the digital public sphere

The digital public – How algorithmic processes influence social discourse

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