"When AI "hallucinates," it's more than just a glitch - it's a collapse of trust. As generative AI becomes part of more digital products, trust has become the invisible user interface. But trust isn't mystical. It can be understood, measured, and designed for. Here is a practical guide for designing more trustworthy and ethical AI systems. Misuse and misplaced trust of AI is becoming an unfortunate common event."
"For example, lawyers trying to leverage the power of generative AI for research submit court filings citing multiple compelling legal precedents. The problem? The AI had confidently, eloquently, and completely fabricated the cases cited. The resulting sanctions and public embarrassment can become a viral cautionary tale, shared across social media as a stark example of AI's fallibility. This goes beyond a technical glitch; it's a catastrophic failure of trust in AI tools in an industry where accuracy and trust are critical."
AI hallucinations are not mere glitches but failures that erode user trust, especially when generative models are embedded in products. Misuse and misplaced trust have produced real-world harms, such as lawyers submitting fabricated case citations generated by AI, leading to sanctions and public embarrassment. Such failures create twofold trust breakdowns: overreliance by users and subsequent widespread distrust of platforms. Fictional AI-generated information also threatens healthcare and education accuracy. Personal voice assistants often produce errors, causing users to avoid them when accuracy matters. Trust can be understood, measured, and intentionally designed into AI systems.
Read at Smashing Magazine
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