Recent progress in artificial intelligence (AI) raises a wide array of ethical and societal concerns. Accordingly, an appropriate policy approach is needed today. While there has been a wave of scholarship in this field, the research community at times appears divided amongst those who emphasize near-term concerns, and those focusing on long-term concerns and corresponding policy measures. In this paper, we seek to map and critically examine this alleged gulf, with a view to understanding the practical space for inter-community collaboration on AI policy. This culminates in a proposal to make use of the legal notion of an incompletely theorized agreement. We propose that on certain issue areas, scholars working with near-term and long-term perspectives can converge and cooperate on selected mutually beneficial AI policy projects all the while maintaining divergent perspectives.
@article{arxiv.2101.06110,
title = {Bridging the Gap: the case for an Incompletely Theorized Agreement on AI policy},
author = {Charlotte Stix and Matthijs M. Maas},
journal= {arXiv preprint arXiv:2101.06110},
year = {2021}
}