data 4Page 1 Kaplan Business School AssessmentAssessment 3 Information Subject Code: DATA4300 Subject Name: Data Security and Ethics Assessment Title: Individual Report: Codes of...

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data 4 Page 1 Kaplan Business School Assessment Assessment 3 Information Subject Code: DATA4300 Subject Name: Data Security and Ethics Assessment Title: Individual Report: Codes of Conduct Assessment Type: Report and Video Word Count: 1500-2000 words (+/- 10%) Weighting: 40 % = 25% (Report) + 15% (Video) Total Marks: 40 Submission: via Turnitin and upload video file or share video link Due Date: Tuesday 23:55pm (AEST), Week 13 Your Task PART A: Report (25 marks) • You have been employed as a Data Ethics Officer by an industry board (professional body) wanting to create a code of conduct around using Artificial Intelligence (AI) to (a) diagnose disease in a person earlier in the progression of this disease or (b) predict the spread of community diseases, in order to inform best practice in the healthcare industry. • You are being asked to produce a framework for a code of conduct for a medical board. • You can choose either of the two applications above (earlier disease diagnosis or community disease prediction using AI). • This company code of conduct framework will also address individual responsibility as well as recommended government oversight. • Your framework will be presented in a report (a suggested structure is below). PART B: Video (15 marks) • Present a 10-minute video explaining your recommendations and thought process Page 2 Kaplan Business School Assessment Assessment Description Address the following sections in your report. PART A: Report (25 marks) Introduction (5 marks) • Introduction to the use of AI in medicine as a whole and fears related to its use, e.g. “Seventy-one percent of Americans surveyed by Gallup in early 2018 believe AI will eliminate more healthcare jobs than it creates.” Source: https://healthitanalytics.com/news/arguing-the-pros-and-cons-of-artificial- intelligence-in-healthcare • Describe how AI is being used either to (a) diagnose disease in a person earlier in the progression of this disease or (b) predict the spread of community diseases Data Ethics Issues (10 marks) • Outline possible data security, privacy and ethical issues associated with the use of patient data in AI. For example, why it may not be a good thing as stated in the quote below. “It’s true that adding artificial intelligence to the mix will change the way patients interact with providers, providers interact with technology, and everyone interacts with data. And that isn’t always a good thing.” Source: https://healthitanalytics.com/news/arguing-the-pros-and-cons-of-artificial- intelligence-in-healthcare Applicable Principles (8 marks) • Outline theoretical and legal principles which are relevant to the data issues identified. Afterall, if the algorithm gets it wrong who is to blame? References and structure (2 Marks) • Include a minimum of five references • Use the Harvard referencing style • Use appropriate headings and paragraphs You will be given a maximum of two marks for this section https://news.gallup.com/reports/226475/gallup-northeastern-university-artificial-intelligence-report-2018.aspx?g_source=link_NEWSV9&g_medium=SIDETOP&g_campaign=item_228497&g_content=Are%2520Americans%2520Ready%2520for%2520the%2520Artificial%2520Intelligence%2520Revolution%3f https://healthitanalytics.com/news/arguing-the-pros-and-cons-of-artificial-intelligence-in-healthcare https://healthitanalytics.com/news/arguing-the-pros-and-cons-of-artificial-intelligence-in-healthcare https://healthitanalytics.com/news/arguing-the-pros-and-cons-of-artificial-intelligence-in-healthcare https://healthitanalytics.com/news/arguing-the-pros-and-cons-of-artificial-intelligence-in-healthcare Page 3 Kaplan Business School Assessment PART B: Video (15 marks) Make a 10 minute video explaining the following, a) The process you went through to prepare your report. What steps did you take? (2 Marks) b) What part of the report did you found most difficult? (1 Mark) c) Recommended Code of Conduct (7 Marks) o Set out a recommended framework for a code of conduct to be followed within the healthcare industry in relation to the use of AI. o Justify why/if the healthcare industry needs to go beyond current legal guidelines d) Recommendations for Industry Best Practice (5 Marks) ▪ Set out briefly what individuals within the industry need to do to use the technology responsibly ▪ Briefly recommend what governments need to do in this space over the coming 5-10 years Here are some articles to start your research: AI and new medicines https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577280/ https://builtin.com/artificial-intelligence/artificial-intelligence-healthcare https://www.nature.com/articles/d41586-019-03846-0 https://www.nature.com/articles/d41586-018-05267-x https://www.srgtalent.com/blog/how-useful-is-ai-in-medical-research Robot doctors and AI in healthcare https://interestingengineering.com/15-medical-robots-that-are-changing-the-world https://www.brookings.edu/blog/usc-brookings-schaeffer-on-health-policy/2019/03/05/will-robots-replace- doctors/ https://www.vox.com/first-person/2019/3/13/18262481/robot-doctor-remote-telepresence-care-terminal-patient https://www.theguardian.com/commentisfree/2020/jan/22/will-robots-make-doctors-obsolete-nothing-could-be- further-from-the-truth https://www.advisory.com/en/daily-briefing/2019/02/13/ai-diagnosis General articles https://healthitanalytics.com/news/arguing-the-pros-and-cons-of-artificial-intelligence-in-healthcare https://www.gehealthcare.com/article/8-emerging-uses-for-ai-in-medicine https://www.nature.com/articles/s41746-020-00333-z Ethics of AI in Medicine https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7332220/ https://www.sciencedirect.com/science/article/abs/pii/S0967586819300256 https://www.ranzcr.com/documents/4952-ethical-principles-for-ai-in-medicine/file https://journalofethics.ama-assn.org/article/ethical-dimensions-using-artificial-intelligence-health-care/2019-02 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577280/ https://builtin.com/artificial-intelligence/artificial-intelligence-healthcare https://www.nature.com/articles/d41586-019-03846-0 https://www.nature.com/articles/d41586-018-05267-x https://www.srgtalent.com/blog/how-useful-is-ai-in-medical-research https://interestingengineering.com/15-medical-robots-that-are-changing-the-world https://www.brookings.edu/blog/usc-brookings-schaeffer-on-health-policy/2019/03/05/will-robots-replace-doctors/ https://www.brookings.edu/blog/usc-brookings-schaeffer-on-health-policy/2019/03/05/will-robots-replace-doctors/ https://www.vox.com/first-person/2019/3/13/18262481/robot-doctor-remote-telepresence-care-terminal-patient https://www.theguardian.com/commentisfree/2020/jan/22/will-robots-make-doctors-obsolete-nothing-could-be-further-from-the-truth https://www.theguardian.com/commentisfree/2020/jan/22/will-robots-make-doctors-obsolete-nothing-could-be-further-from-the-truth https://www.advisory.com/en/daily-briefing/2019/02/13/ai-diagnosis https://healthitanalytics.com/news/arguing-the-pros-and-cons-of-artificial-intelligence-in-healthcare https://www.gehealthcare.com/article/8-emerging-uses-for-ai-in-medicine https://www.nature.com/articles/s41746-020-00333-z https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7332220/ https://www.sciencedirect.com/science/article/abs/pii/S0967586819300256 https://www.ranzcr.com/documents/4952-ethical-principles-for-ai-in-medicine/file https://journalofethics.ama-assn.org/article/ethical-dimensions-using-artificial-intelligence-health-care/2019-02 Page 4 Kaplan Business School Assessment VIDEO FAQs and allowable formats and software (e.g. Zoom) are on the next page Video FAQs Answer voice over software? authenticity of your own work. What is the maximum file size that I can create? The video file should NOT exceed 500MB. What types of video files can I upload to Moodle? *mp4 *avi *mov *mkv *fiv *wmv How can I record a video with accompanying slides? We recommend installing a free application called ‘Zoom’ onto your laptop, tablet, or smartphone. You will need to create an account first. Please click here to get started: https://zoom.us/signup Once installed, you can record videos by reading step by step instruction via the following link: https://support.zoom.us/hc/en-us/articles/201362473- Local-Recording If you prefer visual guidance instead, please watch the following videos: Step 1: How to share your screen: https://www.youtube.com/watch?v=9wsWpnqE6Hw Step 2: Recording a Zoom Meeting https://www.youtube.com/watch?v=AYzPS28rg7E Further questions about how to use this application and how to record a presentation should be directed to your workshop facilitator. My video file is too large. What can I do? Here is a link to the top 5 best free video compressors: https://videoconverter.wondershare.com/compress/free-mp4- compressors.html Can I record my video using a smartphone? If you record your video on a smartphone, you are required to transfer it to a desktop/laptop. Once the file has been transferred, check the file size and type, and whether or not your face can be seen in the video before uploading it to MyKBS. Can I submit my video using my smartphone device? As KBS has no control over your mobile phone data package or plan, please do not attempt to upload your video via a smartphone. Do I need a fast internet connection to make my submission? You need to have a fast and reliable internet connection. If your home is not equipped with one, please do not hesitate to use the Computer Lab facilities located at your campus. I am having technical issues UPLOADING the video file via MyKBS, who should I contact? Please email the following details to LMS team ([email protected]) and your Subject Coordinator, during office hours:  Student Number  Student Name  Subject Code  Campus  A detailed description of the issue  Screenshots of the issue Will I lose marks if I encounter a technical issue and cannot submit the video before the submission deadline? If LMS determines that the technical error is on their side, no late submission penalties will be applied. If LMS determines that the technical error is from your side, then you will be subject to late submission penalties in accordance with KBS Assessment Policy. https://zoom.us/signup https://support.zoom.us/hc/en-us/articles/201362473-Local-Recording https://support.zoom.us/hc/en-us/articles/201362473-Local-Recording https://www.youtube.com/watch?v=9wsWpnqE6Hw https://www.youtube.com/watch?v=AYzPS28rg7E https://videoconverter.wondershare.com/compress/free-mp4-compressors.html https://videoconverter.wondershare.com/compress/free-mp4-compressors.html mailto:[email protected] https://www.kbs.edu.au/wp-content/uploads/2019/07/KBS_Assessment-Policy_June-2019_Final.pdf https://www.kbs.edu.au/wp-content/uploads/2019/07/KBS_Assessment-Policy_June-2019_Final.pdf Page 5 Kaplan Business School Assessment Important Study Information Academic Integrity Policy KBS values academic integrity. All students must understand the meaning and consequences of cheating, plagiarism and other academic offences under the Academic Integrity and Conduct Policy. What is academic integrity and misconduct? What are the penalties for academic misconduct? What are the late penalties? How can I appeal my grade? Click here for answers to these questions: http://www.kbs.edu.au/current-students/student-policies/. Word Limits for Written Assessments Submissions that exceed the word limit by more than 10% will cease to be marked from the point at which that limit is exceeded. Study Assistance Students may seek study assistance from their local Academic Learning Advisor or refer to the resources on the MyKBS Academic Success Centre page. Click here for this information. http://www.kbs.edu.au/current-students/student-policies/ https://elearning.kbs.edu.au/course/view.php?id=1481 Pa ge 6 Ka pl an B us in es s Sc ho ol A ss es sm en t A ss es sm en t M ar ki ng G ui de D A TA 43 00 A ss es sm en t 3 R ub ri c /4 0 H as d em on st ra te d lim ite d ac hi ev em en t: H as a ch ie ve d al l o r m os t o f: In tr od uc tio n 0- 2 3- 5 /5 • An in tro du ct io n w hi ch is o ff to pi c or to o ge ne ra l a nd d oe s no t a dd re ss th e in flu en ce th at A I h as o n th e m ed ic al in du st ry . • En ga gi ng in tro du ct io n w ith ev id en ce o f d ee p un de rs ta nd in g of th e im pl ic at io ns th
Answered Same DayOct 09, 2022

Answer To: data 4Page 1 Kaplan Business School AssessmentAssessment 3 Information Subject Code:...

Prince answered on Oct 09 2022
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DATA SECURITY AND ETHICS
Student Name
9th Oct 2022
PART A: Introduction
The use of Artificial Intelligence in medicine:
Since its initial description in 1950, artificial intelligence has developed into a system that is capable of deciphering complex algorithms and self-learning. A new era in medicine is beginning, one where AI may be used to improve workflow efficiency, diagnostic accuracy, and ris
k assessment models in clinical practise. The degree of data-based therapy utilising AI models has increased as a result of the application of AI. Each patent is viewed as a customer in this scenario, and the technology is able to accurately assess and quickly address the unique physiological issues of various people.
A contentious topic has been the quick adoption of artificial intelligence in medicine (AIM). Arnold believed that the use of AI and a vast amount of information could help to improve healthcare by offering a high amount of accuracy throughout diagnosis, prognosis, and therapeutics. While many argued that there are numerous risks involved in the application of AI as a new technology in the healthcare industry. AI must learn how to do their tasks, just like healthcare professionals. Human intelligence was required to create the appropriate algorithms for AI to do a variety of jobs, including establishing diagnoses, creating treatment plans, creating triage tools, and enhancing both in as well as online consultation.
How AI is utilised to make diagnosis or perform medical duties
Through the method of drug formulation and clinical research, there is an extra benefit. The vast amount of molecular data pertaining to medication candidates has been examined using AI to ascertain the overall impact that it would have on them. Several start-up businesses have used deep learning advancements to tailor the medication delivered to each patient subgroup.
Even while AIM adoption is still in its early stages, its algorithms still have a lot of untapped potential that might be very helpful to the healthcare industry. This is reinforced by a few outstanding examples of how AI algorithms are being used in the healthcare sector and how they are accurate and clinically relevant:
· Chest radiography using the AI system DLAD (Deep Learning Automatic Detection) was able to identify potentially harmful cancer cells that even specialists could not immediately identify.
· When compared to a human radiologist, the Deep Learning algorithm obtained a high level of accuracy (96%) in identifying tuberculosis (TB) on chest X-rays, according to research by Lakhani & Sundaram (2017).
· Weng et al. (2017) found that the ML algorithm might increase the accuracy of predicting cardiovascular risk and thus offer preventive care that could help a lot of individuals who could be at risk of having a heart attack.
· Patients can receive treatment from a specialist at any time, even in remote areas where doctors are in short supply, thanks to telemedicine, or the "robot doctor" (Warraich 2019). It is evidence that many patients with restricted access will find technology to be a useful tool.
The worries around the application of Artificial intelligence in medicine
Despite the potential benefits that AI could bring to the healthcare industry, there is also a very real concern among those who work in the industry that they will be replaced by robots. On the other hand, Minfield and Meskó thought that a lot of tasks still needed human emotions, which AI couldn't imitate or take the place of. Health professionals should view this technology as an aid to human intellect that can help them do a better job of caring for patients. In additional to the worry of job redundancy, there is a great deal of worry about safety because AI could make blunders by making bad recommendations, which could result in the loss of human life (Forbes Insight 2019). As a result, it's crucial that healthcare personnel have control well over decision the algorithm makes and employ AIM as an addition to decision support systems (DSS).
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