Algorithms take place in our everyday lives without a lot of people knowing about it. They decide which route is the best when using GPS navigation, if we get a job interview or not during automated recruitment procedures, how long someone has to stay in prison and who the police should monitor. And while doing this, they are anything but objective.
"Technology is neither good
nor bad; nor is it neutral."
The debate about algorithm systems should not be restricted to expert groups, but change to a public discussion. The consumer needs to be told about the ethical impact of algorithms and be empowered to take influence. We have to develop a strategy where not the companies, but an objective institution can decide if ethical rules are appropriate, to provide enough transparency so that the user is able to decide which service he wants to use.
"The design and presentation of data is as
important as the underlying algorithm."
The “algorithm fairness label” is a concept how algorithms could be scored based on bias and transparent communication. The consumer gets a comparison of particular algorithms, e.g. how strongly different credit rating systems are biased. It aims to reveal unethically operating algorithms.
"It is more important to understand the consequences of algorithms than the decision making process itself."
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