MN501: Artificial Intelligence (AI) System - Computer Science Assignment Help
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0) Artificial Intelligence (AI) system is used by some companies to screen job applicants and predict whether a candidate is fit for the advertised position. A key issue that arises is whether the system can be programmed to selectively screen candidates thereby leading to being discriminatory. Examine this issue in detail using a suitable research approach and provide your perspective on whether such a system could lead to biases in selecting candidates.
1) Social media App is used by a number of professionals to share ideas and also engage in collaboration. Discuss how tracking user location can lead to privacy and security issues. Examine these two issues in detail using suitable research sources.
2) You develop network system for a client. During one of your meeting, you highlight the importance of having a secured network that uses various firewall and encryption technologies to help detect and mitigate security threats. Your client is trying to persuade you not to worry too much about the security aspects and proceed with only basic security features. As a professional what would be your action? Will you proceed with less security feature OR tell your client that you cannot proceed with the project with less security features. Use proper reasoning to justify your answer.
3) Internet of Things (IOT) enabled devices usage has significantly increased in Australia over the past few years. A key risk with IOT enabled device is that it can be hacked and personal information can be stolen. Select a IOT enabled device (Example: Smart Bulb, Smart Home, Smart Parking) and discuss two key security issues in relation to that device. Provide a detailed explanation of the issue and how consumers can safeguard themselves from these issues.
4) Many hospitals and health service providers have healthcare systems that collect patient data. There has been a significant increase in patient data collection over the past few years due to proliferation of various big data systems in the market. Discuss in detail the type of patient data that are captured by hospitals and using suitable examples from your research explain what tools and techniques are available to effectively use this data to improve patient safety and service quality.
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