Envisioning Responsible Quantum Software Engineering and Quantum Artificial Intelligence

TL;DR

This paper emphasizes the importance of integrating ethical principles and governance in the development of Quantum AI and Quantum Software Engineering to ensure responsible, transparent, and equitable technological progress.

Contribution

It advocates for interdisciplinary collaboration to embed ethics into quantum software and AI, addressing current gaps in responsible development practices.

Findings

Highlights ethical, security, and governance challenges in quantum AI and QSE.

Calls for proactive governance to prevent digital inequalities.

Encourages software engineering community to lead responsible quantum innovation.

Abstract

The convergence of Quantum Computing (QC), Quantum Software Engineering (QSE), and Artificial Intelligence (AI) presents transformative opportunities across various domains. However, existing methodologies inadequately address the ethical, security, and governance challenges arising from this technological shift. This paper highlights the urgent need for interdisciplinary collaboration to embed ethical principles into the development of Quantum AI (QAI) and QSE, ensuring transparency, inclusivity, and equitable global access. Without proactive governance, there is a risk of deepening digital inequalities and consolidating power among a select few. We call on the software engineering community to actively shape a future where responsible QSE and QAI are foundational for ethical, accountable, and socially beneficial technological progress.