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Can you trust generative AI (GenAI) output for localization? Can you trust your language partner to use GenAI / Large Language Models responsibly? Expert panelists from Amazon Web Services (AWS), Cisco, and Lionbridge answered these questions and more during our webinar, Embracing AI: A New Era of Trust.
Watch the following short video clips to understand better this new era of AI trust, including its challenges and solutions.
For a comprehensive discussion on the topic, watch the entire AI Trust webinar on demand or read our AI Trust webinar recap blog.
Panelists examined why modern AI behaves more like a human than a machine during the decision-making process and how Lionbridge’s TRUST framework, which encompasses Transparency, Reliability, Usefulness, Safety, and Timeliness, can be used to think about AI trust.
Amazon Web Service's (AWS) Scott Schwalbach detailed how his team uses a confident scoring system to assess the accuracy of the AI output. Assessing GenAI output and comparing it to previously generated Machine Translation (MT) output has enabled AWS to build a road map specifying when and not to use GenAI.
Cisco’s Jane Faraola shared details about a pilot Cisco did with Lionbridge and how it helped them evaluate ways to use AI technology to achieve cost, speed, and quality benefits.
Cisco’s Jane Faraola presented a real-world example of how AI can enhance localization processes. A Cisco project undertaken with Lionbridge used AI to evaluate legacy strings.
In our final video clip, our customer panelists each provided one piece of advice to put you on the right path as you embark upon your AI journey.
As AI evolves rapidly, stay connected with Lionbridge to keep pace with these technological advancements. Reach out to learn more about how Lionbridge can help you gain AI Trust for your localization projects.