DAI406 Artificial Intelligence Ethics (L/651/0604) Assignment Brief 2026
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DAI406 Assignment Brief
| Qualification | Level 4 Diploma in Artificial Intelligence (610/3934/2) |
|---|---|
| Unit Code | DAI406 |
| Unit Title | Artificial Intelligence Ethics |
| Unit Reference | L/651/0604 |
| Credits | 20 |
| TQT | 200 |
| GLH | 120 |
Assignment Aim
In this unit learners will develop an understanding of ethical considerations and principles in relation to the development, deployment, and impact of AI. Students will discuss various industrial case studies to appreciate the ethical challenges associated with AI systems. They will identify dilemmas and express their views on possible conflicting outcomes. They will gain knowledge and skills to address ethical issues and explore factors to consider in making informed and responsible decisions. Students will have the opportunity to compare and analyse the various AI regulatory landscapes as advocated by global governmental agencies.
Learning Outcomes and Assignment Criteria
| Learning Outcomes
When awarded credit for this unit, a learner will: |
Assessment Criteria
Assessment of this learning outcome will require a learner to demonstrate that they can: |
| 1. Associate impact of AI on society with established ethical principles. | 1.1 Discuss the key concept of AI and its impact on society. |
| 1.1 Assess how to address human ethics and morality in AI deployment | |
| 2. Understand Ethical frameworks and principles in relation to AI deployment. | 2.1 Explain the various elements of AI ethical frameworks |
| 2.2 Review implementation of AI ethical framework and principles in current AI applications. | |
| 3. Understand mitigation in addressing bias, privacy, and security in AI application. | 3.1 Explain the impact of bias, privacy, and security in AI application |
| 3.2 Review the existing methods to identify, examine and mitigate bias, privacy, and security issues in AI systems. | |
| 4. Understand the governance and regulation of AI ethics. | 4.1 Explain the responsibilities of government and industries to improve and regulate AI governance. |
| 4.2 Compare the difference in global AI governance, including reasons for the differences |
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