Highlights
Task:
ABOUT THE ASSIGNMENT
This is an open book assignment that examines students’ knowledge about the learning material as well as their critical thinking and analysis skills in the context of managing data, analytics and change. Students will need to recognise different perspectives to assess evidence-based and data driven decision-making practices and analyse fundamental digital technological needs for the effective implementation of analytics projects.
The assignment will have two parts: a case study followed by short-answer questions (12% mark), and a research report (18% mark). Part one will assess students’ critical and analytical thinking of a given case study as well as their knowledge about the learning materials. In part 2, students’ will need to present their understanding of a real- world problem in analytics, find and examine a real-world study/case study, and conduct a research for potential solutions to the problem. It is anticipated that the total length of the answers to part 1 and 2 would be around 2,500 words.
PART 1: CASE STUDY
Jason Lee is the founder and CEO of technology company eJudge, a company based in Singapore that aims to bring the analytics and artificial intelligence into the legal industry. Jason and his team have developed a flagship software program, AutoFair, an artificially intelligent software tool for South East Asian court systems that can predict a defendant's guilt or innocence likelihood. If the person is found guilty, the system can also predict the likelihood that the person reoffends and also recommend the penalty rate. The system is in its early stages, and thus has been designed to only be used for non- criminal offences such as domestic arguments and lost property.
Jason originally created AutoFair 1.0 in order to automate data entry and reporting, to standardize decision-making within the criminal justice system, and to bring down human error or bias impacting legal rulings. He found that many courts and legal companies use old information systems or in some cases manual systems to collect, store, and process documents and evidence, which often makes it a lengthy process to restore information about a defendant’s background and to make a decision about potential penalties for non-criminal offences. Furthermore, Jason found that appeal applications also take a lot of time to be processed, which can disadvantage innocent people as some may not want to go through the trouble of making an appeal application. Thus, initially he was motivated to design an information system that would automate data entry and enhance the speed and efficiency of data collection, storage, and processing and would also help with improving the process for data recovery, reporting and presentation.
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