Crypto Makes AI Evolve
Behrouz Zolfaghari (Cyber Science Lab, School of Computer Science,, University of Guelph, Ontario, Canada), Elnaz Rabieinejad (Cyber Science Lab,, School of Computer Science, University of Guelph, Ontario, Canada), Abbas, Yazdinejad (Cyber Science Lab, School of Computer Science
TL;DR
This paper explores how cryptography has driven the evolution of AI through five distinct stages and proposes a future research roadmap emphasizing quantum-inspired and bio-inspired AI.
Contribution
It introduces a detailed five-stage framework for AI evolution influenced by cryptography and outlines a future research agenda in this domain.
Findings
Identification of five key stages in AI evolution related to cryptography
Critical review of existing surveys and their limitations
Proposed future research directions including quantum and bio-inspired AI
Abstract
Adopting cryptography has given rise to a significant evolution in Artificial Intelligence (AI). This paper studies the path and stages of this evolution. We start with reviewing existing relevant surveys, noting their shortcomings, especially the lack of a close look at the evolution process and solid future roadmap. These shortcomings justify the work of this paper. Next, we identify, define and discuss five consequent stages in the evolution path, including Crypto-Sensitive AI, Crypto-Adapted AI, Crypto-Friendly AI, Crypto-Enabled AI, Crypto-Protected AI. Then, we establish a future roadmap for further research in this area, focusing on the role of quantum-inspired and bio-inspired AI.
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