Basic Introduction to AI
Introduction to Artificial Intelligence (AI)
Artificial Intelligence (AI) refers to computer systems that can perform tasks typically requiring human intelligence, such as understanding language, recognising patterns, and making decisions. AI is already embedded in many everyday tools, from search engines to digital assistants.
AI at Queen Mary
Queen Mary provides access to secure AI tools, such as Microsoft Copilot, which are designed to protect your data and comply with institutional policies. For more information on approved tools, responsible use, and training resources, refer to the university’s AI FAQ and guidance documents.
How Does AI Work?
AI systems learn from large amounts of data. By analysing patterns in this data, they can make predictions or generate new content. Generative AI tools, for example, use advanced models trained on huge collections of text, images, and other sources. These tools don’t “understand” information like humans do; they use statistical patterns to produce outputs that seem natural and relevant.
A few types of AI
- Generative AI - AI that creates new content - like text, images, or music - based on what it has learned from existing data.
- Large Language Models (LLMs) - Powerful AI systems trained on massive language datasets, enabling them to generate human-like text and answer questions.
- Machine Learning (ML) - A method where computers learn from data and improve over time without explicit programming for every task.
What is Automation?
What is Automation?
Automation is the use of technology to perform tasks or processes with minimal human intervention. While automation can be powered by AI, it also includes simpler rule-based systems. In the workplace, automation can:
- Speed up repetitive tasks (like data entry or scheduling)
- Reduce errors and improve consistency
- Free up staff to focus on more complex or creative work
When combined, AI and automation can transform how Queen Mary operates, making processes smarter, faster and more efficient. For example, an automated system might use AI to sort incoming emails, extract key information, and route them to the right department without manual sorting.
Responsible Use of AI
While AI offers many benefits, it’s important to use it thoughtfully:
- Check Outputs: AI can sometimes produce convincing but incorrect or biased information.
- Always review and verify results before relying on them.
- Protect Data: Never share personal, confidential, or sensitive information with AI tools unless they are approved and secure.
- Be Transparent: If you use AI to help create content, be open about it.
- Stay Informed: Use only approved AI tools for university work and follow guidance on what data can be shared.