Module overview
This module develops students understanding of the fundamental security, privacy, ethical, and legal issues relating to all aspects of building systems involving computer systems and artificial intelligence.
Aims and Objectives
Learning Outcomes
Transferable and Generic Skills
Having successfully completed this module you will be able to:
- Communicate about ethical and security issues using written and oral presentation.
- Work within a group to analyse a problem from an ethical and security perspective, and reflect on individual performance within a group.
Subject Specific Practical Skills
Having successfully completed this module you will be able to:
- Gain facility in designing experiments/evaluations involving human users and applying for ethical approval.
- Choose appropriate licenses for hardware/software projects whilst considering implications of the licenses and conditions of third-party assets.
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- Understand the core tenets of being a professional engineer or scientist, including the importance and benefits of diversity in engineering.
- Demonstrate knowledge and understanding of the key aspects and terminology related to legal licensing agreements, NDAs and contracts.
- Understand the threshold concepts underpinning the range of key ethical, legal security and privacy issues surrounding all technology projects.
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- Assess, audit, evaluate, critically reflect upon, and discuss, potential legal, ethical, EDI, security, risk and privacy aspects of new technology projects.
- Identify, assess and critically review appropriate and relevant literature drawn from academic, technical, legal, professional sources.
Syllabus
Topics in the four broad areas below will be covered by the module:
Legal:
- Professional responsibility of engineers and scientists
- Liability
- Data Protection Legislation
- Licensing & open source sw/hw
- Copyright and patents
- Contracts and NDAs
Security:
- Physical security
- Keeping hardware and software secure
- Security and Encryption of data
- Social engineering
Ethics:
- Ethical use and collection of data
- Ethics in ML and AI
- Ethical and sustainable computing (power, energy, environment)
- Ethical hacking (blackhat and whitehat)
Privacy:
- Anonymisation and de-anonymisation
- Data leaks
- Failure case studies
- Right to be forgotten
Learning and Teaching
Teaching and learning methods
The module consists of:
- Lectures, seminars and panel discussions focussing on case-studies that cross one or more of the module themes
- Guided group research work and class presentation
Part of the assessment is through practical lab activities within the AICE Lab Programme.
| Type | Hours |
|---|---|
| Lecture | 36 |
| Guided independent study | 36 |
| Completion of assessment task | 36 |
| Wider reading or practice | 32 |
| Revision | 10 |
| Total study time | 150 |
Assessment
Summative
This is how we’ll formally assess what you have learned in this module.
| Method | Percentage contribution |
|---|---|
| Exam | 50% |
| Group Case Study | 32.5% |
| Computing Laboratories | 7.5% |
| Class Test | 10% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
| Method | Percentage contribution |
|---|---|
| Lab Marks carried forward | 7.5% |
| Exam | 92.5% |