Principles by design: towards good data practice
Data and algorithms are the result of human decisions and values, but also the prejudices that underlie them. Given that trend, there is a need to develop good data practices. The Special Interest Group Principles by Design deals with questions concerning 'good data' practices.
Data and algorithms are surrounded by an aura of accuracy, objectivity, and truth. However, they are designed by people for specific purposes and with specific intentions. In other words, they are the result of human decisions and values, but also the prejudices that underlie them.
Alternative data practices
These are usually the values of commercial companies, and in particular the computer programmers and engineers involved in the design of new digital technologies. Given that trend, there is a need to develop good data practices, meaning more critical and creative alternatives to the commercial (and therefore exploitive) data practices that are the professional standard today.
The triangle of fundamental European values - democratic society, fundamental rights and the rule of law - are threatened by current practices. Systems for collecting and analysing data sets (e.g. SyRi), of which there are more and more, must be critically examined for their epistemic and ethical impact. In addition, we also need to gain more insight into the possible frameworks for regulations.
The Special Interest Group Principles by Design deals with questions such as: what are good data practices? When do the principles of good data apply? How do we implement these principles in the design of our technologies?
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