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Understanding Artificial Intelligence Tools

The rate of change in AI is currently rapid and much of our current understanding, including the tools and their use cases, will be outdated in a matter of weeks. Although it is impossible to accurately predict where the technology is going, it is reasonable to assume AI will be able to generate more realistic and diverse content, such as images, videos, texts, sounds and even code. This may enable new forms of creativity, entertainment, education and communication. However, it will also pose ever-greater ethical challenges in areas such as deepfakes and plagiarism.

Information on the approved AI tools that are available through the University Group can be found on the AI Tooling Hub.

What kinds of AI tools are out there?

There has been an explosion of AI tools in recent months, and therefore providing an exhaustive list would be impossible. However, these are some of the most common:

LM Chatbots
An LLM (‘large language model’) chatbot is an AI-driven tool that understands and generates human-like text. Users interact with LLM chatbots through natural language prompts, and they deliver context-sensitive and often coherent responses. Some examples of these tools are as follows:
ChatGPT
Google Bard
Bing Chat

Uses:
○ Providing academic and administrative support to students, such as answering course-related questions or assisting with enrolment processes.
○ Offering personalised career guidance to students, such as recommending job opportunities based on their skills and interests.
Writing assistance tools
AI writing tools are software programs that use artificial intelligence (AI) and natural language processing (NLP) to help users improve their writing skills. These tools can help users with various aspects of writing, including grammar and spelling checking, sentence structure analysis, and even content generation. Some examples include:
Jasper
Quillbot
Grammarly

Uses:
○ Enhancing student writing skills by providing real-time feedback on grammar, syntax, and clarity.
○ Streamlining the process of creating academic content, such as research papers or dissertations, by offering suggestions on organization and formatting.
AI Image generators
AI image generators are tools that can turn text-based prompts into context-driven visuals. They utilise training on image datasets to generate a wide array of visuals, ranging from photorealistic scenes to artistic interpretations. Examples include:
DALL·E 2
Midjourney
Stable diffusion
Adobe Firefly

Uses:
○ Providing visual aids for academic presentations, such as graphs or diagrams, based on text-based input.
○ Creating customised visual content for marketing materials, such as social media posts or advertisements.
Captioning tools
Making use of captioning tools can be put to good use in meetings. They can enhance accessibility, comprehension, and engagement by providing real-time captions for individuals:
Whisper
Caption.Ed

Uses:
○ Making video content accessible to all students, including those with hearing impairments, by generating accurate closed captions.
○ Assisting with note-taking during lectures by providing real-time transcriptions of the spoken content.
Speech generators
AI speech generators are can transform written text into natural-sounding speech. These generators find applications in various domains, including audiobook narration, voice assistants, and content accessibility. Due to their ability to quickly and accurately clone individual voices, there has been concern over the potential for these tools to for misinformation and deepfakes (see below). Some examples include:
Murf.ai
Synthesys

Uses:
○ Offering a new way to create educational content, such as podcasts or lectures, by generating synthetic speech from text input.
○ Enhancing the accessibility of audio content, such as audiobooks or podcasts, by creating a synthetic voice for those who are unable to record their own.
Programming/software development AI tools
AI software development tools can refine and expedite the software development process. By aiding developers with tasks like code generation, error identification, and optimisation, these tools have the potential to speed up the development process.
GitHub Copilot
ChatGPT (although its primary use is as an LLM chatbot (see above), ChatGPT can be used as a programming/development assistant)

Uses:
○ Assisting with the testing and debugging of code, such as by identifying common errors or suggesting improvements to code structure.
○ Streamlining the process of software development by automating routine tasks, such as generating boilerplate code or creating documentation.

For further advice on embedding AI into the Higher Education curriculum proceed to the article below:

AI tools and the impact on Higher Education

Article authors

David Ashworth & Martin Jenkins

Author

Updated on May 14, 2026
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