Hello, dear friend, you can consult us at any time if you have any questions, add WeChat: daixieit

SPAM002: Security, ArtificialIntelligence, and Emerging

Assessment 3: Technical Report

Overview: A 2,500 word (+/- 10%) technical report that discusses a sub-

ject, an AI/ML technique, and how the technique could be applied to the

subject.

Percentage of mark for module: 50%

Due date: Submitted via ELE before 1400 on 27/03/2026. Information on

how to submit an assignment can be found via:

http://www.exeter.ac.uk/students/infopoints/yourinfopointservices/assessments/

Formative discussion: Session 21 of this module will involve you having

giving a presentation to the module convener prior to handing in this final

assignment. This will give you the opportunity to discuss any issues you have

with the report and to ask any final questions before submission. It will also

count as the formative assessment for this module.

5.1 Structure of the report and what is re-

quired

This report consists of 3 sections, an introduction, and a conclusion/summary:

5.1.1 Introduction:

Provide an overview of your report and what you discuss.

5.1.2 Section 1:

First, select any of the substantive subjects discussed in class; i.e. online

extremism, mis/disinformation, deepfake pornography, deepfakes in politics,

11

12 CHAPTER 5. ASSESSMENT 3: TECHNICAL REPORT

military weapons, law enforcement, etc. Discuss the nature of the subject

area and how it is impact by one or more emerging technologies, as you would

a normally an academic essay. Be sure to include references.

5.1.3 Section 2:

Select a machine learning/AI model/algorithm, discuss what it aims to achieve

and how it works. This means discussing a specific implementations. If, for

example, you select the area of image generation, then you would be ex-

pected to discuss a specific model such as DALL-E, Stable Diffusion, CLIP,

CM3leon, etc. Another example being text generation, which if you chose,

would require you to talk about an implementation such as GPT-4, GPT-3,

Llama, OpenLLama, etc. As a final example, if you chose object detec-

tion, then you would be expected to discuss a model such a YOLO, DETR,

LLaVA, etc.

In this section, you are expected to demonstrate your higher-level un-

derstanding of this model. This means that you are not to merely copy the

information about the aims of the model and how it works from the academic

paper or user documentation that accompanies them (although you are ex-

pected to reference these as they are the developers of the model). Instead,

you are to discuss the nature of the model and how it works in your own

words, drawing upon the understanding you have developed around AI/ML

concepts with have covered in class (i.e. neural networks), us your own ex-

amples (i.e. how it would classify images of dogs or cats if discussing an

image classifier), and include flowcharts/diagrams.

5.1.4 Section 3:

In the final section, you are to discuss how your chosen model could be

applied to your substantive area, and discuss an in-depth example of this

and its impact. For example, if you had selected the area of disinformation

and the DALL-E model, then you would discuss how advances in this model

could, as an example, be used to spread disinformation online about a specific

out-group.

5.1.5 Conclusion/summary

Provide a summary of what you discussed.