Ethics of Algorithms | Künstliche Intelligenz im Dienst der Gesellschaft

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. […]

Algo.Rules – How do we get the ethics into the code?

14. March 2019 / Carla Hustedt

Algorithmic systems are being implemented in a growing number of areas and are being used to make decisions that have a profound impact on our lives. It is up to us to ensure that these systems are designed for the benefit of society. We believe that the design and use of algorithmic systems must follow certain rules, […]

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What Europe Knows and Thinks about Algorithms

6. February 2019 / Viktoria Grzymek

“Algorithm” has become one of our era’s prominent buzzwords, with hardly any political or economic debate lacking some reference. Media coverage of algorithms is also growing dramatically – today, the topic can even be found on newspapers’ front pages. However – or perhaps because of this – it is worth taking a look beneath the […]

Monitoring algorithmic systems will need more than the EU’s GDPR

24. January 2019 / Stephan Dreyer, Prof. Dr. Wolfgang Schulz

Algorithmic systems evaluate people – which poses risks – for us as individuals, for groups and for society as a whole. It is therefore important that algorithmic processes be auditable. Can the EU’s General Data Protection Regulation (GDPR) help foster this kind of oversight and protect us from the risks inherent to algorithmic decision-making? Answers […]

All I want for christmas is a quality criteria catalogue for algorithms.

12. December 2018 / Carla Hustedt

Data scientists roaming the room, visitors having busy conversations, christmas jingles in the background, setting the mood for the evening. Last week I presented the #algorules project at the Berlin based Data Science Agency idalab, asking questions like “What standards of quality could algorithms be held to?” and “How is it possible to make sure that these standards […]

Opinion Piece: Will Germany’s plan for AI make it a leader? Or will it divide Europe?

16. November 2018 / Steven Hill

Why Germany needs to focus on AI that benefits humanity After a long period of planning and incubation, the German government recently agreed on its new strategy for Artificial Intelligence (AI) development. The plan certainly includes a number of forward-looking steps, but it is also deeply flawed

What strategies are needed to ensure machines serve humankind?

15. November 2018 / Julia Krüger, Konrad Lischka

Impact assessments, seals of quality for the origin and quality of data, creating class-action rights for federal anti-discrimination agencies, establishing an agency with algorithmic oversight – there are several ways to go about making sure that algorithmic systems are used for the well-being of everyone in society. The working paper “Machines in the Service of […]

An Ethics for Algorithmists – Lessons Learned from Effective Professional Ethics

24. September 2018 / Ralph Müller-Eiselt

Transparency, fairness and sustainability – these are just a few of the items being called for – also by us – in the creation and use of algorithms. Those who commission, design and use algorithmic systems – algorithmists – have a responsibility to meet these demands. But what might compel them to fulfill their responsibility? […]

Using algorithms to predict death: Lessons learned

20. September 2018 / Dr. Cinthia Briseño

Animals are extraordinary beings. Oscar the cat, for example. Adopted as a kitten by the staff at a nursing home in the United States, he grew up surrounded by people with end-stage dementia. At some point staff members noticed something unusual: Oscar did not interact much with people, but when he made himself comfortable next […]

Optimizing palliative care: When algorithms predict a patient’s death

19. September 2018 / Dr. Cinthia Briseño

“You only have a few months to live.” That sentence is undoubtedly something no one ever wants to hear. The bearer of such a message is usually a doctor, a person who knows about illness – and whether a patient will survive it or not.

Intelligent machines are part of our lives. They help doctors diagnose cancer, dispatch policemen to find criminals and preselect suitable candidates for HR departments. We must therefore re-evaluate and readjust the relationship between humans and machines. How does artificial intelligence (AI) affect us and our society? Where can algorithms enrich us, where must we put an end to their threatening omnipotence?

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