Festival dossier

Korea AI Content Awards

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

WarningHigh Risk
South Korea
0
Legitimacy Score

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This festival is marked high risk. Treat any submission fee as money you may not get back.

  • Name follows 'award mill' pattern (ends in 'Awards')
  • No physical screenings
  • 3 documented risk signals

Overview

The Korea AI Content Awards (KAICA), formerly the Korea International AI Film Festival, is an annual event hosted by Gyeonggi Province and organized by the Gyeonggi Content Agency in South Korea. It is a pioneering festival dedicated to showcasing and supporting content creation that meaningfully utilizes generative AI technology. The festival aims to explore creative pathways and possibilities for mutual growth in the AI era, featuring film screenings, industry forums, and an AI expo [filmfreeway.com](https://filmfreeway.com/KAICA), [gcon.or.kr](https://www.gcon.or.kr/eng/aiff.html).

This overview is AI-generated and not yet verified against structured database fields. Use structured red flags and accreditations for public claims.

Last updated Sep 16, 2026

Legitimacy Analysis

Positive Indicators (+0 pts)

No positive indicators found

Red Flags (-54 pts)

  • Name follows 'award mill' pattern (ends in 'Awards')
  • No physical screenings
  • 3 documented risk signals
  • Flagged as high risk by reputation monitoring

Trust Signals

Risk Flags

  • AWARD_MILL_NAME
  • VERY_NEW
  • AI-generated description — not verified against structured fields

Festival Details

Founded

2024

Visit Festival Website

FilmFreeway community

Avg. rating

3.8/ 5

Reviews

2

Synced 4 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

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At a glance

Legitimacy Score0/100
Reviews0
Community Reports0
FilmFreeway3.8★ · 2

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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