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Did this AI anti‑drug video make drugs look appealing?

A Hong Kong anti‑drug video created with AI sparked backlash for glamorising substances, sparking debate over the effectiveness of visual campaigns.

Source: bbc.co.uk1 min read

In brief

BBC Chinese service reporter Martin Yip reports that an AI‑generated anti‑drug message released by Hong Kong’s Correctional Services Department on 26 June for the International Day Against Drug Abuse attracted criticism for depicting drugs in an appealing light. Critics argue that the colourful imagery may inadvertently entice viewers rather than deter drug use. Meanwhile authorities defend the approach as a modern way to engage the public, citing the growing influence of AI in public messaging. The controversy underscores the tight balance between creative tactics and responsible communication in drug‑prevention efforts.

Background

On 26 June, the Hong Kong Correctional Services Department released a short anti‑drug clip created using artificial intelligence. The video was timed to coincide with the International Day Against Drug Abuse and Illicit Trafficking, aiming to warn young people about the dangers of drug use.

The Controversy

The clip drew sharp criticism from civil society groups and some media outlets because it presented drug substances in a visually appealing manner, with bright colours, smooth transitions and persuasive narration. Protesters argue that such depiction could counteract the warning message and risk glamorising drug use among the target audience.

Authorities’ Response

In response, officials defended the video as a novel approach to capture the attention of digitally‑native audiences. They pointed out that the clip emphasizes the negative consequences of drug abuse, such as health risks and social harms, while employing AI to enhance engagement.

Broader Implications

The incident highlights the growing debate over the use of AI in public‑service communications. Experts suggest that creators must balance creative appeal with ethical considerations to avoid inadvertently encouraging risky behaviours.

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