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  "documentTitle": "Now decides next: Getting real about Generative AI",
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      "text": "Lack of trust and related risks have thus far not prevented organizations from rapidly adopting Generative AI for experiments and proofs of concept; however, this will likely change as organizations transition to large-scale deployment.",
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      "text": "60% reported their organization is effectively balancing speed and risk",
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      "text": "36% of organizations are measuring worker trust and engagement",
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      "text": "33% selected lack of confidence in results as a top risk",
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      "text": "72% said their organization's trust in all forms of AI has increased",
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      "text": "Organizational trust: 72%",
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      "text": "According to a chief technology officer we interviewed, “The explainability piece is really holding us back right now ... once we get a better handle on that, I think we will really be able to accelerate our adoption.”",
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      "text": "According to our wave two survey, 60% of respondents believed their organization is effectively balancing rapid integration of Generative AI while implementing processes that mitigate potential risks. Also, 72% said their organization's trust in Generative AI has increased since the technology emerged in late 2022.",
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      "text": "As for trusting Generative AI's outputs, the technology's fallibility in the form of “hallucinations” is well known and is actively being addressed through improved training and guardrails. For many organizations, transparency and explainability are even bigger issues. In its current form, Generative AI still operates largely as a black box—taking an input and producing an output with no real way for humans to understand how that output was reached.",
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      "text": "Lack of trust continues to be one of the biggest barriers to large-scale adoption and deployment of Generative AI. In this context, two key aspects of trust are: (1) trust in the quality and reliability of Generative AI's output (supported by improved transparency and explainability), and (2) trust from workers that Generative AI will make their jobs easier and won't replace them.",
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      "text": "Regarding worker trust, one executive we interviewed noted that “once people start seeing efficiencies and the benefits the tools have to their work, that will drive adoption and sustained success.” In other words, greater exposure to Generative AI tools will help people become more comfortable with the technology and understand how it can help them do their jobs.",
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      "text": "Ultimately, most organizations will likely each end up using LLMs customized and fine-tuned for their specific domain, industry and use case, rather than just scaling up a general-purpose LLM. This specificity will help Generative AI produce outputs that are more precise, transparent and explainable.",
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