Reflections on artificial intelligence alignment with human values: a phenomenological perspective

Conference paper (2020)

Authors

Shengnan Han Stockholm University
Eugene Kelly New York Institute of Technology
Shahrokh Nikou Åbo Akademi University
S. Nikou Åbo Akademi University
Eric Oluf Svee Stockholm University
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Published Date

2020

Language

English

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Abstract

The need for a systematic approach to work with artificial intelligence (AI) is current and rapidly
growing. It is important that Information Systems researchers get ahead of public sentiment and be able to provide proactive commentary about the current state-of-the-art, as well as solutions for future systems. One critical question is how can we ensure value alignment between AI and human values through AI operations from design to use? For the purposes of this discussion, we adopt the
phenomenological theories of material values and technological mediation to be that beginning step. In this paper, we firstly analyze the AI phenomenon from selected resources from the top IS research outlets (basket of 8 journals and 5 AI journals in IS). Secondly, we briefly present what are material values and technological mediation and reflect on the AI value alignment principle through the lenses of these theories. Supported by these new understandings and reflections, we propose to build a common principle of human values to understand the AI value alignment principle through phenomenological theories. The paper contributes unique aspect of material values that are not addressed in the current AI research.