Instructions:

Make sure your answer for each question is properly contextualized and is strongly related to the case study.

Make a proper use of a clear language and professional presentation in your answers (e.g., bullet points, tables/diagrams, bold/italic etc.)

Each question will have four marks.

Each question will be assessed against correctness of the answer in relation to the case study as well as the presentation and clarity of the answers.

Answers must be directly addressing the corresponding question.

Make use of a clear language and professional presentation in your answers.

Required and recommended text for this unit would cover all questions. No need to refer to external sources/articles.

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 noncriminal 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 defendants 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.

Years after eJudge was listed on the stock market and was widely used by various legal firms and the court systems, Jason released AutoFair 2.0 which was an expansion to the previous version and essentially was taking advantage of the rise of big data analytics in the legal industry. It incorporated big data from various sources to make prediction about an individuals likelihood of making an offence based on their demographic background as well as social media and other publicly available information. Recently, an investigative journalism report made speculations about benefits of AutoFair 2.0 for the legal systems versus the risks. The report claimed that system might discriminate minorities within the society. The accuracy of the systems prediction was also under question, and that why a judge should rely on a man-made intelligent system than using his or her brain to solve legal disputes or to impose penalties on individuals.

QUESTIONS:

1. Jason is in the process of preparing a response to the media to address the claims made by the journalist. He has asked you to help with this response, and to prepare two benefits of AutoFair 2.0 for the legal systems and two benefits for the individuals/defendants. Discuss each benefit in the context of eJudge (4 marks).

2. Apply the 5 Vs model for big data and discuss what Volume, Veracity, Velocity, and Variety means to the legal system. To answer this question, you need to present your understanding of how AutoFair 2.0 has been able to take advantage of big data analytics (4 marks).

3. (a) Distinguish what type of information systems AutoFair 1.0 is (TPS, MIS, DSS, ESS), and discuss your reason (2 marks).

(b) In what way Jason might have taken advantage of ERP systems for the implementation and role out of AutoFair 2.0? (2 marks).