Algorithmen

From principles to practice: How can we make AI ethics measurable?

Discussions about the societal consequences of algorithmic decision-making systems are omnipresent. A growing number of guidelines for the ethical development of so-called artificial intelligence (AI) have been put forward by stakeholders from the private sector, civil society, and the scientific and policymaking spheres. The Bertelsmann Stiftung’s Algo.Rules are among this body of proposals. However, it […]

Automated Decisions: Europe must speak with one voice

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 […]

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

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, […]

Quality Criteria for Algorithms – Lessons from Existing Compendia

What operations should algorithms be allowed to perform? What standards of quality should they be held to? For what purposes may they be used? Although they are deeply relevant for society, we have yet to reach a social consensus on these issues. A number of international organizations seek to answer these questions by formulating quality […]

When Machines Judge People

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 […]

Nine Opportunities and Risks of Algorithmic Decision-Making

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 […]