PE4S300 - Ethical, Legal and Social Implications of Artificial Intelligence in Medicine 01 Sep 2024 - 31 Aug 2030 | Version 1
Associated Module Information
| Module Code: | PE4S300 | ||
|---|---|---|---|
| Module Title: | Ethical, Legal and Social Implications of Artificial Intelligence in Medicine | ||
| Faculty: | Faculty of Life Sciences and Education | ||
| Faculty Group: | Allied Health and Chiropractic | ||
| Faculty Sub Group: | Clinical Services | ||
| Module Leader: | Iram Ashraf, Faisal Rashid | ||
| Module Team: | |||
| First Intended Intake: | SEP 2024 | Final Year of Intake: | 2029 |
| Date Closed: | |||
| Credit Value: | 20 | Credit Level: | 7 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | 100260 - healthcare science | ||
| HECOS Code Weighting: | 100 | ||
Document Version Information
| Version | 1 |
|---|---|
| Valid From | 01 Sep 2024 |
| Valid To | 31 Aug 2030 |
Module Aims
The module aims to develop students' knowledge and capabilities when assessing multifaceted ethical, legal and societal challenges surrounding the integration of AI in healthcare.
Content Summary
Indicative content to include topics outlined below and/or any other relevant current topics to fulfil the module aims and learning outcomes:
Week 1 - Ethical Frameworks in Medical AI
Week 2 - Ensuring Data Privacy and Security
Week 3 - Addressing Bias and Equity
Week 4 - Legal and Accountability Issues
Week 5 - Social Impact and Patient Engagement
Week 6 - Navigating Future Challenges
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Seminars | 40 |
| Independent Study | 80 |
| Directed Study (including online independent learning) | 40 |
| Problem/Challenge based learning | 40 |
| Total Hours Selected | 200 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | Exhibit an in-depth knowledge of the ethical, legal and societal challenges associated with artificial intelligence in a variety of medical contexts. |
| LO2 | Develop evidence-based policy recommendations that incorporate the latest research and take into account ethical frameworks and legal issues related to the application of AI in medicine. |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Asynchronous Assessment | Case study 1 | A concentrated inquiry into a single case or subject Learna Case-based scenarios and a discussion forum related to the ethical, legal and social implications of artificial intelligence in medicine. | 0 | 2500 | 40 | No | 40 |
| Asynchronous Assessment | Project 1 | A detailed analysis of a topic, involving some original research undertaken by the candidate who makes use of data and/or primary sources Learna Completion of an individual/group task related to the ethical, legal and social implications of artificial intelligence in medicine. | 0 | 1000 | 20 | No | 40 |
| Asynchronous Assessment | Self Reflective Assessment 1 | A personal record of a student’s learning experiences. It requires students to record and reflect upon their observations and responses to situations, which can then be used later to explore and analyse ways of thinking and being in context. Generally involves critical diaries, learning logs and written / visual journals Learna Reflective journal | 0 | 600 | 10 | No | 40 |
| Synchronous Online Assessment | Time-constrained assessment (Online) 1 | Assessment to be completed in a specific timescale, which is neither an invigilated examination nor a piece of coursework. To be completed over an extended period (e.g. a 2-hour task to be completed within 48 hours, or a 24-hour assessment).Learna: End of module 1-hour Case-based Multiple-choice Examination related to the ethical, legal and social implications of artificial intelligence in medicine, to be completed within a 10-day period. | 60 | N/A | 30 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Case study 1 | ✔ | ✔ | |
| Project 1 | ✔ | ✔ | |
| Self Reflective Assessment 1 | ✔ | ✔ | |
| Time-constrained assessment (Online) 1 | ✔ | ✔ | |