A proposal for ethically traceable artificial intelligence
Christopher A. Tucker

TL;DR
This paper proposes a framework for ethically traceable AI by applying Kant's critique of reason to programming constructs, aiming to align autonomous systems with human norms and cognition.
Contribution
It introduces a novel approach to embed ethical traceability in AI through Kantian philosophy integrated into programming models.
Findings
Framework for ethical traceability in AI proposed
Application of Kant's critique to AI programming discussed
Potential for aligning AI behavior with human norms
Abstract
Although the problem of a critique of robotic behavior in near-unanimous agreement to human norms seems intractable, a starting point of such an ambition is a framework of the collection of knowledge a priori and experience a posteriori categorized as a set of synthetical judgments available to the intelligence, translated into computer code. If such a proposal were successful, an algorithm with ethically traceable behavior and cogent equivalence to human cognition is established. This paper will propose the application of Kant's critique of reason to current programming constructs of an autonomous intelligent system.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEthics and Social Impacts of AI · Epistemology, Ethics, and Metaphysics · Free Will and Agency
