What does responsible use of AI mean at Youpret?

In recent years, AI models have advanced to the point where they are widely used across various industries. When evaluating the opportunities offered by different models, it becomes clear that their benefits—such as enhancing efficiency and streamlining operations—are so significant that it is no longer reasonable to not utilize AI tools.

From the customer’s perspective, the safety and responsibility of AI are likely the first concerns. What happens to my data when handled by AI? Are AI decisions reliable? Can AI truly make the right choices? Therefore, before integrating any AI tools into a business, it is essential to understand their limitations and principles of proper use. Once these are mastered, AI offers unparalleled opportunities also in the language industry to improve customer experience, develop business, as well as enhance and streamline everyday workflow.

At Youpret, responsibility is at the core of everything we do. In this blog, we’ll explore what responsibility in AI means to us.

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What is responsible use of AI?

In essence, the responsible use of AI means integrating AI applications into a business in a way that maximizes its benefits for people and society while minimizing any negative impacts. Responsible AI is a broad concept encompassing several aspects, such as fairness, reliability, data security, equality, transparency, accountability, technical robustness, and environmental and societal impact. At Youpret, key aspects include data security, which is fundamental to our operational philosophy, as well as transparency and equality, which align with our vision and values.

Data security

We handle over a thousand interpretation assignments daily, processing a significant amount of personal data for tasks such as orders and invoicing. Ensuring the secure handling of this data is critically important to us. When AI tools are introduced into operations involving personal data, the significance of data security becomes even more pronounced. Data security is primarily governed by regulations like GDPR and the AI Act, but what do these mean in practice?

Data security begins even before the data is processed by AI. During data collection, it’s important to consider which information is essential for the service. If personal data must be collected, it is crucial to ensure that all files containing such data are properly protected and do not fall into the hands of unauthorized individuals, especially those outside the company.

Unfortunately, in the era of AI, data breaches and phishing are more common than ever, making data security more critical than before. Breaches can occur inadvertently through openly accessible AI-powered chatbots, as users are not clearly told what information is stored or how it is processed. Popular chatbots include ChatGPT, Microsoft Copilot, and Google Gemini.

AI has also made phishing easier. For example, it can be used to make scam phone calls mimicking a colleague’s voice or to craft convincing messages in virtually any language.

One key method for safeguarding data is limiting access to sensitive information, ensuring it doesn’t inadvertently end up outside the company via AI tools or phishing.

In addition to access control, staff must be trained in proper use of AI tools. Different departments may use various AI tools, so it’s crucial that everyone receives training tailored to the tools relevant to their roles.

Data security must also extend to the information generated by AI tools. These tools often produce significantly larger volumes of data than conventional digital tools, and securely storing such volumes can be challenging. One solution is to use established third-party platforms that already have built-in encryption mechanisms to protect data during transfer, processing, and storage.

Youpret is known for its strong technological expertise, and companies like us can also consider creating its own servers to store and process AI data. This approach reduces the number of components involved in data processing and ensures encryption is fully in-house, albeit also fully the company’s responsibility.

Transparency

Transparency is particularly important to us—after all, it’s one of our core values. As a fair and trustworthy partner, we strive to remain open about our operation in all its areas.

In terms of AI, transparency at its simplest means clearly communicating about a company’s AI usage to customers, including when they interact with AI and what its limitations are.

Transparency is also directly linked to data security. A transparent AI tool helps developers assess its level of security and potential risks. Transparency can be promoted, for example, by documenting the data and processes used by AI to ensure traceability, which, then, ensures explainability of the system’s operation. This means that developers are able to understand how AI arrived at specific decisions by viewing the processed data and what has been done to it. A traceable and explainable AI tool allows the developers to evaluate data quality and facilitates improvements to the tools in areas like security or accuracy, fostering trust in AI.

Equality

At Youpret, we aim to make the world more equitable. In line with our vision, language should never be a barrier to understanding one another, nor should anyone face discrimination based on any other personal characteristics.

Surprisingly, even AI can engage in discrimination. Regardless of its purpose, AI should handle all data equitably. This becomes especially important when AI processes personal data, such as in customer service or recruitment. For instance, imagine AI is used to screen hundreds of job applications and it begins favoring candidates only from a specific ethnic background.

Such scenarios must never become reality. In recruitment, for example, AI must be trained to disregard all unrelated non-professional factors when suggesting suitable candidates. Of course, the same principle applies to any other application where AI makes decisions or suggestions based on personal data.

All aspects must be considered to facilitate AI responsibility

The above recruitment example highlights that the different aspects of responsible AI cannot be addressed in isolation. Instead, they must all be considered when designing AI tools for business use. In this case, the connection between transparency and equality is evident—it’s easier to program AI to treat all data fairly when its processes and data usage are transparent. Because of such connections, at Youpret, we consider all aspects of responsible AI instead of focusing only on data security, transparency, and equality.

However, designing responsible AI isn’t solely the responsibility of private companies. Governing bodies at various levels have established regulations and laws to guide AI usage. For example, GDPR and the AI Act, created by the European Commission, are key directives for operators within EU member states.

Ultimately, the primary guideline for responsible use of AI is to remember that it is merely a tool—albeit an advanced one. It should never operate entirely autonomously, and humans must always have the final decision-making authority.

Some of our systems, too, are already highly automated and rely on advanced technology, such as the Youpret App, which represents industry-leading technology in the interpreting field. Book a free onboarding training to ensure smooth implementation of our user-friendly application across your entire organization!

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