Data Privacy, Security, and Ethical Governance Under Quantum AI

Summary

Data privacy, security, and ethical governance issues have long been raised in respect of the use of artificial intelligence (AI) technology—and can to some degree be managed, provided certain precautions are taken. The convergence of quantum computing with AI, arguably, brings increased efficiency, and one might hope that means the same result being achievable with a lower volume of personal data being collected and retained. Bringing quantum computing together with artificial intelligence might seem to bring benefits in meeting—or at least dealing with—data privacy requirements and facilitating compliance therewith. To protect against civil liability, regulatory scrutiny, and reputational harm from unintended outcomes across a wide variety of AI usage, governance structures are required. The Centre for Data Ethics and Innovation published its review of the presence of bias in algorithmic decision‐making, which looks primarily at how algorithms can be used to promote fairness rather than undermine it.