DAI504 Human-AI Interaction (Y/651/0608) Assignment Brief 2026
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DAI504 Assignment Brief
| Qualification | Qualifi Level 5 Diploma in Artificial Intelligence (610/3935/4) |
|---|---|
| Unit Code | DAI504 |
| Unit Title | Human-AI Interaction |
| Unit Reference | Y/651/0608 |
| Credits | 20 |
| TQT | 200 |
| GLH | 120 |
Assignment Aim
unit aims to provide students with an understanding of the multidisciplinary areas involved in the field of Human-AI interactions. While the focus is on human interaction with AI, this unit covers the fundamental knowledge of and skills in designing an intuitive userfriendly human-machine interface. Students will consider human factors and basic elements in the psychology of human and AI interaction when using NLP interaction to influence conservational interface. Students will explore the fundamental concepts of explainable AI techniques to present transparent AI models.
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. Understand key theories and concepts in human-AI interactions.
|
1.1 Explain the evolution and related concepts of Human-AI interaction |
| 1.2 Analyse user-centred design principles used in developing AI systems. | |
| 1.3 Discuss how the design of an AI application uses principles of information architecture and intuitive user-friendly interaction. | |
| 2. Be able to carry out explainable AI techniques which take consideration of human factors and cognition. | 2.1 Apply the various multimodal interaction techniques to analyse the effectiveness of various modalities for a given business scenario. |
| 2.2 Apply explainable AI techniques to improve transparency and trust in developed AI applications. | |
| 2.3 Use human factors and cognitive load in designing the various interfaces within AI applications. | |
| 3. Understand design principles for collaborative human and AI systems.
|
3.1 Analyse user cognitive load to determine the processes and decision generated by AI application. |
| 3.2 Examine principles in designing AI systems that ensure collaboration between humans and AI systems. | |
| 3.3 Investigate complexities in designing transparency for effective human and AI collaboration. |
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