With new Artificial Intelligence (AI) tools such as ChatGPT shaping both our personal and professional lives, City is hosting a series of seminars for students exploring the opportunities and challenges presented by generative AI within education.

Published Wednesday, 20th March, 2024 in University news

You can sign up to attend the last seminar in the series, taking place online on Wednesday 20 March, 2-3pm, which will explore how AI tools are affecting employment through City's website.

Previous seminars explored a generalist’s guide to AI and examined biases to be aware of when using AI. Here, members of the Campus News team give their key takeaways:

A generalist's guide to the principles behind new AI tools

  • Generative AI is a type of artificial intelligence that generates new content by learning from existing data
  • AI uses a wide range of internet sources, including social media, news websites, and encyclopedias, and is optimised for accuracy.
  • AI can be used for analytics, content generation and metrics analysis, offering an efficient and quick way to create content for professions such as digital marketing
  • AI can be used for tasks traditionally performed by human writers and to improve written communication
  • Stian Reimers, a Professor for the School of Health and Psychological Sciences, presented a case for how ChatGPT has enabled students to practice multi-agency care scenarios and interact with simulated patients.
  • AI, and specifically ChatGPT, is often used as a tutoring tool
  • It’s important to keep in mind that AI is continually being developed, and whilst it brings lots of benefits and learning opportunities it also has limitations and inaccuracies to be aware of.

Biases in generative AI output

  • AI systems learn from data that often contains human biases, so if the data is biased, the AI’s output will be biased too. This can lead to AI perpetuating biases
  • Human-AI collaboration is important to help prevent or correct biases by steering AI to learn from balanced data
  • Reducing biases is a continual process that requires attention and refinement as AI systems evolve
  • Education is critical to help make sure that AI is used ethically.

If you missed out on any of the seminars on AI or want to refresh your knowledge, you can find the recordings of the sessions on MediaSpace by searching for ‘AI’.