Highlights
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) develop new medicines or (b) make diagnoses, 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 (new medicine development or diagnosis using AI), and let your lecturer know by Week 9.
• 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). Assessment Description Here are some articles to get you started. AI and new medicines
Address the following sections in your report.
PART A: 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-artificialintelligence-in-healthcare
• Describe how AI is being used either to a) invent medicines or b) make diagnoses or act as doctors.
PART B: 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. Page 3 Kaplan Business School Assessment Outline “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-artificialintelligence-in-healthcare
PART C: 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? PART D: 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
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