The discovery of hundreds of non-consensual deepfake images on a student's laptop at the University of Hong Kong has reignited debate about privacy, technology, and accountability. The scandal echoes the 2008 Edison Chen photo leak, which exposed gaps in law and gender double standards.

Unlike stolen private images, today's fabrications are AI-generated composites that can tarnish reputations with a single photo scraped from social media. The dismissal that such content is 'not real' fails to address the damage caused by its existence.

The legal system of Hong Kong struggles to keep pace with this shift. Its privacy ordinance, drafted in the 1990s, was not designed for machine-learning fabrications, while traditional harassment and defamation laws predate the advent of AI. Victims risk harm before distribution is even proven.

The city's privacy watchdog has launched a criminal investigation, but questions remain over whether creation or possession of deepfakes is covered by existing statutes. Critics warn that overreach could suppress legitimate uses, yet inaction leaves space for abuse.

Observers argue that just as the snapshot camera spurred the development of modern privacy law, deepfakes must drive a new legal boundary to safeguard dignity. Without reform, victims may continue facing harm without recourse.