Chapter in New book: AI – The Data Ethics Perspective

Artificially intelligent technologies are complex data processing systems that pose several ethical challenges. We should consider the data intensity of these technologies and find solutions to the ethical implications in legislation, design and society in general.

We develop intelligent systems to create order in our messy contemporary reality, but very rarely do we put demands on what kind of order they create. Data processing algorithms can be described as the language of the big data age, which creates structure and meaning out of unstructured data. This language is not independent of the context in which it is used but is an expression of given cultural and social norms and values ​​and their priorities. Artificial intelligence is therefore not a free agent, with free will, able to act inscrutably on data from its own computer logic, they are social systems that represent and amplify community values ​​and specific interests. The main message is therefore that it is a technology that we can create and have an influence on. Viewed through these eyes, means that those who design the systems are also designers of social systems more than just designers of objective mathematical systems. Therefore, as early as in the design phase, an analysis and assessment can be made of the social and ethical consequences of the data processing systems being developed.

Read the chapter here

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