I was recently asked, “Forces that will shape the future in 2024 and beyond.” 

Here is my answer:

Generative AI holds thrilling potential for LSPs. Ethical challenges abound, but we are optimistic that these can be addressed through human-AI collaboration. 

AI is a technology tool, not a human, and has inherent flaws. And for all our flaws, we humans are emotionally intelligent, ethically discerning, and culturally aware – all attributes that are essential components of language access. Some of the challenges we contemplate daily include:

  • Bias: Generative AI models are trained on vast amounts of data, and the quality and diversity of the training data plays a crucial role in their output. Human oversight can ensure that biases are not perpetuated or amplified. 
  • Privacy: LSPs handle large volumes of sensitive information. We must ensure that data protection and privacy standards are maintained rigorously.
  • Accuracy: Human oversight and quality assurance processes should play a crucial role in ensuring that translations are accurate, culturally appropriate, and contextually relevant.
  • Transparency:  Being transparent about the use of Generative AI and its limitations is essential to maintain trust.
  • Reskilling: Linguists are highly skilled individuals, prized for their judgement. LSPs should reskill and upskill their workforces, focusing on human-AI collaboration rather than complete automation.

Ideally, humans and technology will join forces in such a way that the sum is greater than the parts. The result can be a thoughtful, ethical, and high-quality approach to AI that lifts us to even greater heights.

This article originally appeared in CSA Research

Scott W. Klein is the president and CEO of LanguageLine Solutions.

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