Designing and experiencing AI systems
Recent trends and developments from a technology assessment perspective
Keywords:Artificial Intelligence, AI, Machine Learning, Big Data, Technology Assessment
Artificial intelligence (AI) is on everyone’s lips – as well as the associated technologies of machine learning and big data. The enormous dynamics and consequences of these developments become already evident in numerous areas of application in business, society and science. In this context, technology assessment (TA) of AI initially has the task of transforming any excessive public expectations and fears to the factual level. In a second step, TA can provide impulses for the further, desirable design of AI based on reasonable development goals of AI and legitimate societal values. If TA conducts this orientation task close to the technological core, it can consider wide scopes of options for action in the early phases of technology development. Related thoughts are put into concrete terms in this article and will be related to the authors’ contributions to this topical focus.
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Copyright (c) 2021 Bernhard G. Humm, Stephan Lingner, Jan C. Schmidt, Karsten Wendland
This work is licensed under a Creative Commons Attribution 4.0 International License.
Articles in TATuP - Journal for Technology Assessment in Theory and Practice are published under the Creative Commons Licence CC BY 4.0.