BBC News Impersonator
Kyal Pindolia, Funmi “Finn” Okuleye · Team Finn & Kyal
Submitted to AI capabilities and risks demo-jam. Sprint projects are early-stage work by participants, not Apart Research publications.
This paper presents a demonstration that showcases the current capabilities of AI models to imitate genuine news outlets, using BBC News as an example. The demo allows users to generate a realistic-looking article, complete with a headline, image, and text, based on their chosen prompts. The purpose is to viscerally illustrate the potential risks associated with AI-generated misinformation, particularly how convincingly AI can mimic trusted news sources.
Reviews
It’s plausible that a lot of content will be AI generated and that might be hard to discern. I am not quite sure what is most plausible attack vector here is…I think it would be fairly cheap to build fake news / conspiracy theory websites like Real Raw News (just for add revenue or as a psyop).
Interesting project.My main gripe with it lies in the fact that AI misinformation, especially through fake-news website, does not seem like a major problem. The demo was hard to test as well. However, the execution is very good.
Cite this project
@misc{pindolia2024bbc,
title = {{BBC News Impersonator}},
author = {Kyal Pindolia and Funmi “Finn” Okuleye},
year = {2024},
month = aug,
note = {Submitted to AI capabilities and risks demo-jam, an Apart Research Sprint},
howpublished = {\url{https://apartresearch.com/sprints/projects/bbc-news-impersonator}},
url = {https://apartresearch.com/sprints/projects/bbc-news-impersonator}
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