Integrative Biological Simulation, Neuropsychology, and AI Safety
November 07, 2018 Β· Declared Dead Β· π SafeAI@AAAI
"No code URL or promise found in abstract"
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Authors
Gopal P. Sarma, Adam Safron, Nick J. Hay
arXiv ID
1811.03493
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.LG,
cs.NE,
q-bio.NC
Citations
2
Venue
SafeAI@AAAI
Last Checked
4 months ago
Abstract
We describe a biologically-inspired research agenda with parallel tracks aimed at AI and AI safety. The bottom-up component consists of building a sequence of biophysically realistic simulations of simple organisms such as the nematode $Caenorhabditis$ $elegans$, the fruit fly $Drosophila$ $melanogaster$, and the zebrafish $Danio$ $rerio$ to serve as platforms for research into AI algorithms and system architectures. The top-down component consists of an approach to value alignment that grounds AI goal structures in neuropsychology, broadly considered. Our belief is that parallel pursuit of these tracks will inform the development of value-aligned AI systems that have been inspired by embodied organisms with sensorimotor integration. An important set of side benefits is that the research trajectories we describe here are grounded in long-standing intellectual traditions within existing research communities and funding structures. In addition, these research programs overlap with significant contemporary themes in the biological and psychological sciences such as data/model integration and reproducibility.
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