AI Trust: The Answer is Transparent Processes, Consistent Standards, and an Acceptance That Neither Are to Be Trusted on Instinct Alone
Australian Financial Review
ENRICHED
Details
- Date Published
- 28 June 2026
- Priority Score
- 3
- Australian
- Yes
- Created
- 28 June 2026, 04:01 am
Description
The issue is not whether artificial intelligence can be trusted but how systems are designed to manage its imperfections.
Summary
This article advocates for adopting aviation-style safety systems to manage the inherent fallibility of frontier AI models, particularly focusing on LLM hallucination and reasoning gaps. It argues that trust should not be instinctive but rather grounded in standardized governance frameworks and transparent operational safeguards. The piece highlights the necessity of human-in-the-loop systems to mitigate risks as AI integration accelerates within critical Australian sectors. By framing AI safety through the lens of systematic risk management, it contributes to the discourse on preventing catastrophic failures in automated decision-making.
Body
TechnologyAIPrint articleJun 28, 2026 – 12.19pmAs AI adoption accelerates, society is rightly asking how much we can trust AI systems. But maybe the first question should be, how did we ever trust human ones?We know that large language models, the technology behind tools like ChatGPT, can make things up. They find patterns where none exist. They lose track of information beyond a certain point, the way we struggle to hold too many things in our heads at once. They can reconstruct facts to fit a narrative when answering a question, smoothing over gaps in reasoning rather than flagging them.Loading...SaveLog in or Subscribe to save articleShareCopy linkCopiedEmailLinkedInTwitterFacebookCopy linkCopiedShare via...Gift this articleSubscribe to gift this articleGift 5 articles to anyone you choose each month when you subscribe.Subscribe nowAlready a subscriber? LoginLicense articleRead MoreAIOpinionSuperannuationGovernanceFetching latest articles