UXT Week 6: AI & Education
In your personal opinion, what would be the coolest / most interesting use case for artificial intelligence in the near future?
One of interesting trends during the pandemic was the usage of online tools for education. Young people who had to stay at home had to study using systems such as Microsoft Teams, Edomodo and many more ( UNESCO provides a whole list of different distance learning solutions ). My 11 year old sister for instance had to use Edmodo every day, to chat with her teachers, have homework tasks organised and for my mother to keep a track of her progress. For my sister it was of course not ideal as she would rather spend her time with friends in a classroom than in front of a desktop, my mother on the other hand was really intrigued because she could easily contact the teachers and check if my sister is on track with her education. However, according to many news sites, during the pandemic many children despite having access to such platforms had more mental problems, and to make matters worse children from lower income families in some cases didnβt have access to education at all.
All in all I see a big potential for using AI for education, we cannot say it was the best way to study but it did make education more accessible and customisable for many. The customisation part for me is the most interesting, take for instance children with ADHD who get easily bored but can also superfocus on things that interest them. Using AI to create a educational system where all children achieve their learning goals but using different means would be a great thing. Children with ADHD for instance can have learning material made in a form of videos, interactive games and excercises. Still learning the same things but using different mediums. This for me would be perfect equity in education and I hope many educational platforms that relay on AI will incorporate it.
In addition to recruitment discrimination mentioned in the article, search online for another example in which AI biases can cause problems. Explain the cause and effect of the bias in the case you found.
AI biases are created by people who make the system. They can learn by themselves and gather a lot of data to analyse but foundationally they still use the instructions given to them by humans, who are inherently biased. As said in the article by Brookings βSystemic racism and discrimination are already embedded in our educational systemsβ. For instance using AI teachers can predict the grades and progress of their students, for minorities this is bad news since they are already underrepresented and biased against in offline world. This makes them less likely to get into very good univerisities and puts a lot of pressure on them to βproveβ that they are just as the majority. One way to ractify it is for developers to use ethics frameworks while creating a new tool. This way they can address biases that might arise once the tool is on the market. Based on comprehensive studies by Lee and Kizilcec (2020) algorithms that are modified for such bias do improve several indicators of fairness..
Sources Used:
https://www.forbes.com/sites/bernardmarr/2020/09/21/the-4-top-artificial-intelligence-trends-for-2021/?sh=2819fcb71c2a
https://deepsense.ai/ai-trends-2019/
https://roboticsandautomationnews.com/2020/07/06/ai-in-education-what-the-future-holds/33811/
https://en.unesco.org/covid19/educationresponse/solutions
https://www.hrw.org/news/2021/05/17/pandemics-dire-global-impact-education
https://www.bbc.com/news/health-55863841
https://edarxiv.org/pbmvz/download?format=pdf
Question: Do you think personalising education using AI will help children?













