Festival dossier

HKUST AI FILM FESTIVAL

China · Est. 2024 · Multiple structural red flags — exercise caution before submitting

WarningWatchlist
China
21
Legitimacy Score

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Warning-tier means structural red flags in our data — not a confirmed scam, but submit only with eyes open.

  • No physical screenings
  • 2 documented risk signals
  • On watchlist — negative reputation signals detected

Overview

The HKUST AI Film Festival, hosted by the Hong Kong University of Science and Technology, is a pioneering event in Greater China dedicated to AI-generated and AI-assisted filmmaking. It explores the convergence of technology and aesthetics, showcasing how artificial intelligence is redefining cinematic creativity and production. The festival serves as a platform for filmmakers, researchers, and industry partners to engage in discussions, workshops, and showcases on the future of AI in cinema.

This overview may contradict our structured venue and screening data. Prefer the Legitimacy Analysis section and structured fields below for social posts or citations.

Last updated Aug 27, 2026

Legitimacy Analysis

Positive Indicators (+0 pts)

No positive indicators found

Red Flags (-29 pts)

  • No physical screenings
  • 2 documented risk signals
  • On watchlist — negative reputation signals detected

Trust Signals

Risk Flags

  • VERY_NEW
  • Description contradicts structured venue/screening data

Festival Details

Founded

2024

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FilmFreeway community

Avg. rating

3.7/ 5

Reviews

9

Synced 19 days ago

Rating synced from FilmFreeway; individual review text not pulled yet for this festival.

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FilmFreeway reviews are filmmaker opinions, not our score. Cross-check red flags before paying fees.

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Research

Live web research is off to control API cost. This shows cached scheduled research when available, plus analysis from our database.

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At a glance

Legitimacy Score21/100
Reviews0
Community Reports0
FilmFreeway3.7★ · 9

How scoring works

Scores are calculated from structural indicators: accreditations, physical screenings, award category count, submission frequency, and acceptance rate. Higher scores reflect more verifiable legitimacy signals.

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