Ethics of Artificial Intelligence Demarcations
This work addresses the need for clearer distinctions in AI ethics debates for researchers and practitioners, but it is incremental as it builds on existing demarcation concepts without introducing new empirical findings.
The paper tackles the problem of clarifying ethical and societal discussions in AI by proposing key demarcations between concepts like Artificial General Intelligence vs. weak AI, and symbolic vs. connectionist AI, with the result being a framework to facilitate informed debate and interdisciplinary rigor.
In this paper we present a set of key demarcations, particularly important when discussing ethical and societal issues of current AI research and applications. Properly distinguishing issues and concerns related to Artificial General Intelligence and weak AI, between symbolic and connectionist AI, AI methods, data and applications are prerequisites for an informed debate. Such demarcations would not only facilitate much-needed discussions on ethics on current AI technologies and research. In addition sufficiently establishing such demarcations would also enhance knowledge-sharing and support rigor in interdisciplinary research between technical and social sciences.