Now's the Time: Computer Science Must Evolve to Emphasize Software and Systems Engineering with Artificial Intelligence (AI)

TL;DR

The paper advocates for a fundamental shift in computer science education to focus more on software and systems engineering with AI, preparing students for complex AI systems and future disruptions.

Contribution

It proposes reorienting CS curricula to emphasize systems and engineering principles integrated with AI, moving beyond traditional programming and algorithms.

Findings

Traditional curricula are insufficient for AI system engineering.

Graduates should be equipped to design and verify AI-enabled systems.

CS education must adapt quickly to technological disruptions.

Abstract

Computer science (CS) education needs to evolve to support software and artificial intelligence (AI) systems engineering, and it needs to happen now -- precisely because the core intellectual contributions of CS have never been more important. We argue that traditional curricula, built around programming, data structures, and algorithms as ends in themselves, must be reframed so that these topics become foundational building blocks within a systems- and engineering-centered education. Graduates should be prepared not to compete with AI on routine coding tasks, but to design, orchestrate, verify, and own complex AI-enabled systems operating under real-world constraints. More importantly, computer science education should be geared toward preparing students for future disruptions. The broad history of computing is marked by one disruptive technology after another, requiring us to rise to the moment instead of merely acquiescing to it.