The End-User in the Loop
With AI, it is and always will be about humans

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How GenAI is used in localization matters. But what matters even more is how users use — and don’t use — GenAI and GenAI-created content and whether it helps them achieve their goals. The language industry, and any industry that produces, markets, and distributes AI-generated content, is subservient to this overriding reality: It’s all about the end-user in the loop.

AI is everywhere, and there is no way to put the genie back in the bottle. This is why examining how we use AI is becoming more critical each day. 

So we asked the end-users who consume your products.

We conducted a global survey across eight countries to understand how users engage with GenAI. We dive into heady topics such as trust, bias, and the notion of “good enough.” We share the lessons learned from those who are the ultimate beneficiaries of any product or marketing decision.

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There is a difference between users’ awareness of GenAI, their exposure to it, and how frequently they use it. It’s not insignificant.

Users are increasingly aware of GenAI, but actual usage remains low. Yes, differences will probably level out over time. However, this will hinge on brands’ ability to address questions about the transparency and trustworthiness of their AI systems and functionality. 

Otherwise, the seemingly unstoppable technological progress and the slew of innovative products and features it brings may lack the meaning humans crave. 

 

LEARN WHY TRUST IS PARAMOUNT

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77% of users have mistaken AI-generated content for human content. Should you do anything about it?

Is the answer as obvious as it seems? Humans learn from their mistakes well (which is different from saying they don't repeat them). On the other hand, isn’t any brand-to-end-user interaction supposed to be mutually beneficial? What do brands really gain by skimping on transparency?

 

WHY TRANSPARENCY MATTERS

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When 'good enough' is actually good enough.

GenAI is increasingly central in the localization tech stack. Its powers are transformative, provided one implements AI intentionally and where it can make a difference. Yet a large part of the discourse surrounding AI grinds to a halt on the question of output quality.

70% of users would tolerate a language error if they obtained the information they wanted from the system. This raises a key question: Are localization teams — and the brands they serve — over-prioritizing perfection instead of focusing on user intent?

Who would have thought people would have opinions about AI? All you need to do is ask the (right) questions. Instead of blindly pushing the latest AI-powered product functionality, pause and listen to what matters to your users. Taking it on board will help create meaningful, memorable interactions. What else should a brand strive for?

Argos Multilingual - The End-User in the Loop Report

Read the full "End-User in the Loop" report today and discover why incorporating users’ perspectives can make a big difference.