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SELECT LANGUAGE:
Advancements in AI are nothing short of transformative, enabling companies to generate and translate substantially more content within the same budget, reach new markets, and ultimately increase profitability. However, it is essential to proceed with care when leveraging generative AI (GenAI) / Large Language Models (LLMs). A worthy consideration involves trust.
Embracing AI: A New Era of Trust
AI technology advancements have ushered in an era of trust driven by AI tools that no longer produce deterministic, predictable results. We’re asking the machine to make decisions that more closely resemble human cognitive processes with multiple possible outputs. A critical question arises since these decisions happen in a black box: Can we trust AI to make them?
Some people are wary of using AI in their business processes. As reported by Wired, an EY-commissioned survey of 1,000 employees found that 66 percent of respondents were concerned about the quality of AI outputs, and 77 percent indicated that they had established a task force on responsible AI.
Fortunately, you can employ specific strategies to achieve AI trust, including trust in the technology and the partner managing it. We’ve created a handy cheat sheet detailing Lionbridge’s TRUST framework to help guide you. The framework, organized via the TRUST acronym, comprises five trust-related measures to ensure the AI is:
- T, Transparent
- R, Reliable
- U, Useful
- S, Scalable
- T, Timely
Watch a recording of our webinar, Embracing AI: A New Era of Trust, for an in-depth conversation about AI trust featuring experts from Amazon Web Services, Cisco, and Lionbridge. Our AI trust webinar recap highlights the key points.
Lionbridge’s TRUST framework is part of a systematic approach to responsible AI, which also includes our REACH framework.
The REACH framework emphasizes measurable business outcomes, audience relevance, and human-in-the-loop oversight. Together, the TRUST and REACH frameworks guide the effective use of AI at every stage of the content transformation lifecycle.
Note: This blog updates a post that originally appeared in 2024.
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