English is the language of AI - why teaching it matters

Sam Colley
Reading time: 3 minutes

In the rapidly evolving age of artificial intelligence (AI), language plays a critical role in shaping the future of technology. English, in particular, has emerged as the dominant language in the AI domain, driving innovations, collaboration and accessibility. As we delve deeper into the digital age, the importance of teaching English becomes increasingly evident. Here are some key points that underscore why English is essential in the realm of AI and why its teaching matters.

Global collaboration and research

AI is a field that thrives on collaboration and the sharing of knowledge. Researchers, developers and engineers worldwide contribute to the collective advancement of AI technologies. English is the common linguistic thread that binds this global community together, enabling seamless communication and collaboration among these diverse professionals.

By teaching English, we empower individuals from various linguistic backgrounds to participate in global research projects, attend international conferences and publish their findings in widely accessible journals. This global exchange of ideas not only accelerates the pace of AI innovation but ensures that advancements are inclusive and representative of a wide array of perspectives.

Access to educational resources and technical documentation

Many AI research papers, educational materials, textbooks, online courses and technical documents are published in English. Leading AI platforms, libraries and frameworks, offer extensive documentation and support primarily in English.

By equipping individuals with English language skills, we empower them to access these invaluable resources. This democratizes the learning process, allowing aspiring AI practitioners from non-English-speaking regions to acquire the knowledge and tools needed to contribute effectively to the field.

Enhancing communication and language learning with AI systems

As AI systems become more integrated into our daily lives, the ability to communicate effectively with these systems is paramount. Many AI-driven applications, from virtual assistants like Siri and Alexa to customer service chatbots, operate predominantly in English. Teaching English ensures that users can interact seamlessly with these technologies, maximizing their utility and enhancing user experience.

Moreover, as continues to advance, proficiency in English allows individuals to better understand and contribute to the development of more sophisticated and intuitive AI communication interfaces.
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The importance of English in AI
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Unlocking career opportunities and professional growth

Proficiency in English opens up many career opportunities in the AI industry. Many leading tech companies, research institutions and startups operate in English-speaking environments or require English proficiency for collaboration and communication.

By teaching English, we prepare individuals for these opportunities, enabling them to pursue careers in AI research, development, data science and more. Additionally, English proficiency enhances professional growth by allowing individuals to engage with global networks, attend international conferences and stay updated with the latest industry trends and developments.

Bridging the digital divide

The digital divide refers to “the disparities in access to information and communication technologies (ICTs), as well as the ability to use these technologies effectively. This divide is not only about access to hardware and connectivity but also encompasses differences in digital literacy, economic resources and social inclusion." (Van Dijk, J. A. G. M. 2020).

Language barriers can exacerbate this divide, limiting access to AI-driven innovations and services for non-English-speaking communities. Teaching English helps bridge this gap, ensuring that more people can benefit from AI advancements. This inclusivity is essential for creating AI solutions that address the needs and challenges of diverse populations, ultimately contributing to a more equitable and connected world.

Promoting cross-cultural understanding

In the interconnected world of AI, cross-cultural understanding is crucial. English serves as a bridge connecting people from different cultural backgrounds, fostering mutual respect and collaboration.

By teaching English, we promote cross-cultural understanding and empathy, which are essential for developing AI solutions that are ethical, fair and respectful of diverse cultural contexts. This cultural sensitivity is critical as AI technologies are deployed globally, impacting people from various cultural backgrounds.

The importance of AI and English

In conclusion, teaching English is of paramount importance in the age of AI. English plays a pivotal role in the advancement and accessibility of AI. It’s not just about linguistic proficiency; it is about opening doors to global collaboration, providing access to critical resources, enhancing communication with AI systems, unlocking career opportunities, bridging the digital divide and promoting cross-cultural understanding.

As AI continues to shape the future, ensuring that individuals worldwide have the language skills needed to engage with this technology is essential.ÌýBy prioritizing English education, we can foster a more inclusive and innovative AI landscape, where diverse voices and perspectives drive progress and create solutions that benefit all of humanity.

References

Van Dijk, J. A. G. M. (2020). The Digital Divide. 3rd Edition. SAGE Publications.

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    How teachers can use the GSE for professional development

    By Fajarudin Akbar
    Reading time: 4.5 minutes

    As English teachers, we’re usually the ones helping others grow. We guide learners through challenges, celebrate their progress and push them to reach new heights. But what about our own growth? How do we, as educators, continue to develop and refine our practice?

    The Global Scale of English (GSE) is often seen as a tool for assessing students. However, in my experience, it can also be a powerful guide for teachers who want to become more intentional, reflective, and confident in their teaching. Here's how the GSE has helped me in my own journey as an English teacher and how it can support yours too.

    About the GSE

    The GSE is a proficiency scale developed by ɫèAV. It measures English ability across four skills – listening, speaking, reading and writing – on a scale from 10 to 90. It’s aligned with the CEFR but offers more detailed learning objectives, which can be incredibly useful in diverse teaching contexts.

    I first encountered the GSE while exploring ways to better personalize learning objectives in my Business English classes. As a teacher in a non-formal education setting in Indonesia, I often work with students who don’t fit neatly into one CEFR level. I needed something more precise, more flexible, and more connected to real classroom practice. That’s when the GSE became a turning point.

    Reflecting on our teaching practice

    The GSE helped me pause and reflect. I started reading through the learning objectives and asking myself important questions. Were my lessons really aligned with what learners at this level needed? Was I challenging them just enough or too much?

    By using the GSE as a mirror, I began to see areas where I could improve. For example, I realized that, although I was confident teaching speaking skills, I wasn’t always giving enough attention to writing development. The GSE didn’t judge me. It simply showed me where I could grow.

    Planning with purpose

    One of the best things about the GSE is that it brings clarity to lesson planning. Instead of guessing whether an activity is suitable for a student’s level, I now check the GSE objectives. If I know a learner is at GSE 50 in speaking, I can design a role-play that matches that level of complexity. If another learner is at GSE 60, I can challenge them with more open-ended tasks.

    Planning becomes easier and more purposeful. I don’t just create lessons, I design learning experiences that truly meet students where they are.

    Collaborating with other teachers

    The GSE has also become a shared language for collaboration. When I run workshops or peer mentoring sessions, I often invite teachers to explore the GSE Toolkit together. We look at learning objectives, discuss how they apply to our learners, and brainstorm ways to adapt materials.

    These sessions are not just about theory: they’re energizing. Teachers leave with new ideas, renewed motivation and a clearer sense of how to bring their teaching to the next level.

    Getting started with the GSE

    If you’re curious about how to start using the GSE for your own growth, here are a few simple steps:

    • Visit the GSE Teacher Toolkit and explore the learning objectives for the skills and levels you teach.
    • Choose one or two objectives that resonate with you and reflect on whether your current lessons address them.
    • Try adapting a familiar activity to better align with a specific GSE range.
    • Use the GSE when planning peer observations or professional learning communities. It gives your discussions a clear focus.

    Case study from my classroom

    I once had a private Business English student preparing for a job interview. Her speaking skills were solid – around GSE 55 – but her writing was more limited, probably around GSE 45. Instead of giving her the same tasks across both skills, I personalized the lesson.

    For speaking, we practiced mock interviews using complex questions. For writing, I supported her with guided sentence frames for email writing. By targeting her actual levels, not just a general CEFR level, she improved faster and felt more confident.

    That experience reminded me that when we teach with clarity, learners respond with progress.

    Challenges and solutions

    Of course, using the GSE can feel overwhelming at first. There are many descriptors, and it can take time to get familiar with the scale. My advice is to start small: focus on one skill or one level. Also, use the Toolkit as a companion, not a checklist.

    Another challenge is integrating the GSE into existing materials, and this is where technology can help. I often use AI tools like ChatGPT to adjust or rewrite tasks so they better match specific GSE levels. This saves time and makes differentiation easier.

    Teachers deserve development too

    Teaching is a lifelong journey. The GSE doesn’t just support our students, it also supports us. It helps us reflect, plan, and collaborate more meaningfully. Most of all, it reminds us that our growth as teachers is just as important as the progress of our learners.

    If you’re looking for a simple, practical, and inspiring way to guide your professional development, give the GSE a try. It helped me grow, and I believe it can help you too.

    Additional resources