Final Year Project Portfolio
Patricia Santos Dias
BA Media and Communications, University of Greenwich
Project Progression
This project evolved significantly over time. What began as a broad inquiry into AI’s role in media developed into a focused, self-produced AI documentary that explores not only what AI can do, but what journalism could become. This page documents that progression — including supervision feedback, creative drafts, and critical reflection on key turning points.
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Please note: the image cover of this page are original and generated by A.I only for the purpose of this portfolio.
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Project proposal here
Ethics form here
Project report here
Survey & Responses here
Survey questions here
My first idea was to create an interactive exhibition exploring how AI is being used in journalism across a few newsroom stages. This was formally submitted in my Advanced Project Proposal document
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This proposal outlined five physical/digital stations comparing AI vs. human journalism across sourcing, writing, editing, publishing, and audience interaction.
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After discussing it with my supervisor, Jeanine Woollard, I was encouraged to think about:
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How I could focus the narrative
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The value of a digital-first or video format
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The importance of storytelling clarity over interactivity alone
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Initial Concept & Supervisor Feedback
Reflection:
These conversations helped me pivot from a purely exhibition-led idea to something with a clearer core message: AI is not just a tool, it’s a storyteller and that’s what I wanted to explore in depth.
Used to guide visual tone: clean, minimal, tech-forward.
Why: Helped set a professional tone that matched the subject of AI.
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Reflection: I learned that visual consistency boosts the clarity and authority of tech-based projects.
Moodboard Development
First AI Timeline
(Draft)
Early attempt at creating a timeline.
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Why: Helped structure my historical research.
Reflection: Too rigid — I needed a more human-readable, story-led layout.
Second Timeline
(Closer to Final Vision)
More visual and accessible.
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Why: Better suited to public-facing exhibition or video display.
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Reflection: Reinforced my decision to use visuals and animation in my final video
CRITS piece: Evolution AI in Journalism
Used during class exhibition to engage peers.
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Reflection: Helped me test engagement and tone. Peers responded positively to the video pacing, which gave me confidence to lean into the video documentary direction.
Documentation of idea evolution
Public-facing and essential for supervision feedback.
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Reflection: This helped streamline my storytelling and avoid over-explaining AI terms. It was a key turning point toward a more impactful, accessible narrative structure.
Supervision Reflections
Throughout the process, my supervisor Jeanine Woollard provided support that helped build confidence in my direction. Key points from our check-ins included:
“You’re going in the right direction.”
“Don’t worry about the length of the video, focus on clarity and message.”
“This is a very current and compelling topic.”
Reflection:
These comments helped reassure me that I didn’t need to over-edit or shorten the documentary artificially. Instead, I focused on delivering a strong, coherent narrative that fully explored the topic. Knowing the theme was seen as timely and relevant motivated me to push further with the AI-led storytelling approach.
Final Project Focus
All the experimentation, drafts, and feedback led me to a final concept that brings together research, storytelling, and critical reflection.
The Evolution of AI in Journalism culminates in a self-produced, AI-assisted documentary titled The Future of Trust.
The video was created entirely using artificial intelligence tools, from scripting and voice generation to editing and visual production. Rather than simply tracing AI’s development in journalism, it interrogates one core question:
Can we still trust the stories we read, when they may not be written by humans at all?
Focusing on ethical dilemmas, misinformation, and journalistic responsibility, the documentary highlights how AI is shifting not just how stories are told, but who gets to tell them — and whether audiences can still believe them.
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Timeline Installation – Context & Future Vision
To accompany the film, a large visual timeline will be displayed next to the video. This installation serves as both an educational anchor and a speculative lens. It traces the evolution of AI in journalism, from its earliest uses in automated reporting to today’s language models — and includes AI-generated predictions of journalism’s future in:
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5 years — widespread AI-human co-authorship of breaking news
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10 years — AI-powered, real-time personalised newsfeeds and anchors
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50 years — fully autonomous media outlets governed by ethical AI frameworks
Together, the timeline and documentary act as a two-part narrative: one rooted in history, the other asking what comes next.