ECIS MLIE Conference 16-18 February 2024 | The British Library, London: Ethics

"AI's first language is English — a bias that researchers are racing to counter before it gets permanently baked into the new technology.

What it Matters: Most of today's generative AI tools are built on large language models (LLM) trained on texts and data in English and Chinese, leaving the 6 billion native speakers of the world's more than 7,000 other languages at risk of being left out as the technology reframes work, business, education, art and more."

"Generative AI tools are often trained on internet data, meaning access to these tools may be limited to those who speak a few data-rich languages like English, Spanish, and Mandarin."

Kazakh "falls into the category of 'low-resource' languages. This means it is inadequately represented or researched in AI and machine learning due to the limited amount of linguistic resources available online.

As a result, the vast majority of AI tools accessible to people proficient in English, Russian, or other popular languages on the web are not available to individuals who only speak Kazakh."

These ethical guidelines on AI and data usage in teaching and learning are designed to help educators understand the potential that the applications of AI and data usage can have in education and to raise awareness of the possible risks so that they are able to engage positively, critically and ethically with AI systems and exploit their full potential.

The European Union will soon introduce new legislation on artificial intelligence: The EU AI Act. This regulation will lay the foundations for the regulation of AI in the EU.

Our AI Act Explorer enables you to explore the contents of the proposed Act in an intuitive way, or search for parts that are most relevant to you. It contains the full Final Draft of the Artificial Intelligence Act as of 21st January 2024. It will continue to be updated with newer versions of the text.

This curricular resources about AI ethics includes background information and four student-driven projects that relate to subject area standards, while providing foundational learning on what AI is, how it works and how it impacts society.

With these hands-on projects, students work directly with innovative AI technologies, participate in “unplugged” activities and create various products — from chatbots to presentations to video games — to demonstrate their learning. These hands-on guides are available in English, Spanish and Arabic.