If you work in a regulated industry, quality-checking your content will be second nature. Errors, omissions, or non-compliant content are risks you can’t afford to take—they could result in serious regulatory consequences, reputational damage, or even customer harm.
But are your risk management processes getting lost in translation? When you’re using AI translation to accelerate delivery and reduce costs, how can you be sure your global content meets the quality standards your industry demands?
A responsible, risk-managed approach to AI translation is crucial—not just to keep your high-risk, regulated content compliant, but to support your overall customer experience.
Think about how AI is used in medical scans: it’s a powerful tool for analyzing the images and identifying abnormal patterns, but human specialists are needed to interpret the results for patients and confirm diagnosis and treatment. Likewise, AI translation needs a level of human scrutiny and accountability to mitigate the business risks.
At Rubric, we help you put the correct guardrails in place and develop a governance strategy that addresses your content risks. By bringing in human expertise where it’s needed, you can drive value from AI translation while protecting your brand.
What are the risks of AI translation in regulated industries?
AI translation can be effective, but it’s not perfect—and the results can sometimes be unpredictable.
Common AI translation mistakes include:
- Selecting incorrect terminology
- Misrepresenting the context
- Adopting the wrong tone
- Adding or omitting text
- Missing cultural nuances or introducing bias
In a low-risk context (such as an internal news update), the impact may be limited if the message is broadly understandable. But regulated content leaves no room for guesswork, assumptions, or “close enough” matches—quality, consistency, and compliance are non-negotiable.
This is why AI translation still requires human accountability. Combining the technology with the right human oversight and expertise is key to catching and preventing AI translation errors before publication, so they don’t become business risks.
Regulatory risks
Product packaging is one example where translation errors can have far-reaching consequences. Consider the risks of inaccurate or misleading product claims, or incorrectly translated nutrition and allergen information. Mistakes like these could put you in breach of industry regulations, resulting in fines or costly product recalls.
Likewise, if you’re translating pharmaceutical content, errors in patient information leaflets create safety risks that open you up to regulatory scrutiny, delayed approvals, and increased liability.
Having to recall products or reprint documentation brings high costs and distribution headaches. Your supply chain is disrupted, and you lose sales to competitors. But the greatest damage could be to your reputation: negative media coverage and regulatory scrutiny destroy trust in your brand—and once that’s lost, it’s very hard to win back.
Safety risks
Incorrect nutritional or pharmaceutical information could present health and safety risks to consumers. Instruction manuals are another content type that directly influences behavior: if industrial operating instructions, warnings, or maintenance rules are translated incorrectly or inconsistently, it could lead to accidents, damaged equipment, business interruption, and legal claims.
Data protection risks
Quality isn’t the only consideration when using AI translation tools—what about the security of your data? If employees enter confidential or commercially sensitive information into a public AI tool, that content is no longer within your control. This could breach data protection rules or internal policies on information security.
Improve compliance and customer experience with a risk-based approach
Not all your content carries the same level of risk, so a one-size-fits-all AI translation strategy doesn’t make best use of your resources. A smarter approach is to tailor your translation and review strategy based on content risk level, targeting human expertise where it’s needed most.
For content that will be subject to regulatory scrutiny, human oversight is vital to ensure AI translation compliance. But other content types also benefit from good governance and quality controls.
Non-regulated content may present lower risks, but it still impacts user experience. By improving quality and consistency at every touchpoint, you protect your brand and build trust and loyalty.
Rubric does this by investing in upstream quality controls that improve the quality of your AI translations from the outset:
- Comprehensive terminology glossaries
- Consistent style guides
- Translation memories of previously approved translations
Better AI outputs mean you don’t waste time fixing preventable errors—instead, human insight and expertise are focused on genuine improvements. A consistent quality framework lets you reuse these resources across high- and low-risk content, maximizing their value.
Responsible AI translation starts with responsible decision-making
Organizations that are getting the most value from AI translation are using it selectively, and within a clearly defined risk framework. The key is to identify where it’s appropriate to use AI and what controls are needed to keep your brand safe.
Creating an effective risk and governance framework helps you implement the right balance of technology and human expertise for each content type. This not only gives you peace of mind that your global content is accurate and compliant, it also provides a high-quality customer experience that builds trust.
To find out more about using AI translation responsibly within a regulated industry, speak to Rubric. Our experts have helped clients in life sciences, manufacturing, wellness and more to implement a risk-based approach to AI translation, applying the right governance, technology, and human expertise to scale their global content safely.