{
  "id": 3637351,
  "title": "Asia’s AI trust gap: strong transparency, weak security and unclear data practices",
  "url": "https://urgent.news/2026/08/27/asias-ai-trust-gap-strong-transparency-weak-security-and-unclear-data",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-27T01:30:56.000Z",
  "source": {
    "name": "e27",
    "slug": "e27",
    "url": "https://e27.co/asias-ai-trust-gap-strong-transparency-weak-security-and-unclear-data-practices-20260826/"
  },
  "original_language": "en",
  "account": null,
  "summary": "The Asia's AI Trust Gap report highlights the challenges faced by AI companies in the region, particularly in terms of trustworthiness despite strong transparency practices. The Cybernews-led AI Trustworthiness Ranking assessed 500 AI companies across 36 countries, with an average trustworthiness score of 60 out of 100 for Asian companies, below the global average of 65. While Asian AI firms scored well on transparency (91 out of 100), their security scores were lower (60 out of 100), indicating a gap between transparency and security. The findings are especially relevant for Southeast Asia's startup ecosystem, where AI adoption is rapidly increasing across various sectors, and trust has become a critical factor in product development and user adoption.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}