Bernd Carsten Stahl, Professor of Critical Research in Technology at the University of Nottingham, England, presented at the latest CODATA Connect webinar on 22nd August, on the topic, ‘Artificial Intelligence for a Better Future – An Ecosystem Perspective on the Ethics of AI and Emerging Digital Technologies’. The recording and slides are now available: https://codata.org/
Smart information systems (SIS) are systems that incorporate artificial intelligence techniques – in particular, machine learning and big data analytics. These raise significant hopes: for example, to better understand and cure diseases, but also to revolutionise transport, to optimise business processes or reduce carbon emissions. At the same time, they raise many ethical and social concerns, ranging from worries about biases and resulting discrimination to the distribution of socio-economic and political power and their impact on democracy.
Drawing on the findings of the SHERPA project (www.project-sherpa.eu), the presentation suggests that one perspective to better understand these systems and their social and ethical consequences is to use the metaphor of an ecosystem to describe them, a metaphor already widely used in the policy discourse on AI.
The talk analyses what the use of the ecosystem metaphor means for the evaluation of ethical issues of smart information systems, which conclusions can be drawn from it and how these can inform recommendations for policymakers and other stakeholders.
Bernd Carsten Stahl is Professor of Critical Research in Technology at the School of Computer Science of the University of Nottingham. His interests cover philosophical issues arising from the intersections of business, technology, and information. This includes ethical questions of current and emerging of ICTs, critical approaches to information systems and issues related to responsible research and innovation.
We are pleased to share the recording of this presentation, alongside the slide deck and a link to Prof Stahl’s book. Please visit the event page for more information and links: https://codata.org/
Find out more about the CODATA Connect early career network at: https://codata.org/