Algorithmic ethics is an attempt to specify moral-philosophical questions arising from the processes of change and transformation brought about by digitisation. As a scientific endeavour, its primary goal is to identify and justify ethical criteria and principles for sustainable value creation through the responsible use of data. The aim of this book is to contribute to the positioning and extensive development potential of an independent algorithmic ethics. The central task is the conceptual description of the problem of transparency and control in the context of digital technologies. This competence or empowerment problem is made accessible to an ethical approach in order to assess it and to highlight design perspectives.

Comprehensive introduction to the subject area of ethics of algorithms Media-philosophical systematisation of algorithmic thinking and acting From the analysis of application areas to normative criteria for algorithmic ethics

Autorentext

Christopher Koska is a research assistant at the Chair of Practical Philosophy at the Munich School of Philosophy and a partner in the consulting firm dimension2 economics & philosophy consult GmbH. He is an expert in digitisation with his work and research focusing on data and algorithm ethics, corporate digtal responsibility (CDR), as well as digital learning and educational media.

Klappentext

What are algorithms? Is there an ethos of algorithmic thinking and acting? A sense of direction that provides us with orientation in the face of comprehensive datafication? This book explores the historical and intellectual foundations of algorithmics. The central task is to conceptually describe the problem of transparency and control, which can also be understood as a problem of competence or empowerment, and make it accessible to an ethical approach in order to assess it and to highlight design perspectives.
The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.

Inhalt

Abbreviations.- List of Figures.- Introduction.- 1. Framework of the Study.- 2. Algorithm, Algorithmisation, Algorithmics.- 3. In Search of Numbers and Values.- 4. Design Perspectives.- 5. Summary and Outlook.- Bibliography.