Dawson Camilleri is an AI researcher at UoM with a Master’s degree in AI
With the advancement and growing popularity of Artificial Intelligence (AI), several questions are raised such as How will AI change the way we work? Will the change be good or bad? Is AI already changing work as we know it?
The Health sector
Accurately diagnosing illnesses as soon as possible is integral due to how fragile life can be. Hence, utilising technology for health shows an effective way for doctors to diagnose their patients efficiently.
AI analyses and learns from large amounts of diagnosis and finds common patterns between them. From these patterns, AI will be able to predict and give a suggestion on what the patient is currently suffering.
The “human touch” will still be needed since the doctor will need to verify themselves whether the prediction is true or not.
Moreover, AI is also being used to help researchers speed up the development of new cures and treatments.
The Education sector
Teaching can be quite difficult due to the different pace needed for a student to learn. Adaptive learning is AI that tailor exercises carefully for each student. As the student continues to learn, the exercises become more difficult, so their learning does not stagnate.
Moreover, LLM’s such as ChatGPT can be used to help students and researchers by suggesting relevant research papers for their dissertation. For example, I write in the prompt “Recommend me papers that are peer reviewed, released in the last five years and have been referenced by multiple people”. It can also help students with their coding by giving small code snippets for them to understand the solid foundation needed for them to continue adding more complexity to the solution.
The Legal sector
One of the biggest problems in the legal sector, both locally and abroad, is that court cases take too long for judges to reach a verdict. Legal Judgement Prediction helped solve this problem by utilising AI to help people working in the sector reach a verdict.
The AI will help to determine the outcome of a case based on past judgments and the law of that country. When developing such technology, transparency is of utmost importance, so it is integral to show how the AI decided the case.
AI in this case could explain how it reached a particular verdict by taking factors such as evidence, witness testimonies, arguments, counter arguments, and others.
The Finance sector
AI can analyse and predict how the market will perform based on past data. Although stocks and crypto can be unpredictable, using AI will have a greater chance to invest safely. Furthermore, AI can be used to detect anomalies in financial transactions. When correctly identifying these anomalies, it helps in preventing fraud.
A 24/7 chatbot can also help this sector by helping financial institutions with queries relating to generic financial advice. If the question gets too complex, then the query gets forwarded to a human. Having a chatbot saves time and money because people working in customer care could only deal with more complex queries raised by customers which saves more time.
Conclusion
The adoption of AI across various sectors showcases areas from which both employees and employers can benefit from, such as better decisions being made, completing work faster for strict deadlines, less repetitive and more meaningful work.
AI is changing the way we work because instead of us going with our instinct, we can rely on an “advisor”. Furthermore, AI is neither good or bad because it all depends on how we use it.
Finally, AI is just a tool and with this tool comes great responsibility so it is important to create AI that is transparent and ethical so the impact for all parties involved is used for the greater good.