麻豆社-Pair Dataset: A dataset for training and evaluating detection of ai-generated media
Paper 430: We believe that artificially generated content will have a measurably detrimental impact on the pursuit of facts and hence journalism.
Artificial intelligence generated content has become common place in the modern world. Not all this content is inherently nefarious, but some poses a significant risk to pursuit of truth and some even aims to deliberately poison objective reality for personal, political or monetary gain.
Artificial Intelligence generated content is becoming the cornerstone of new targeted hacking schemes, in some circumstances changing the narratives of politically charged stories. And is increasingly used by figureheads of society to gain quick clicks, or to refute the actual true series of events.
We believe that artificially generated content will have a measurably detrimental impact on the pursuit of facts and hence journalism.
We look to a future where we can equip journalists with the tools, they need to be able to combat this new enemy in the pursuit of factual reporting.
All good detection tools start off with a dataset that can be used to train and test the tool. As such this white paper covers the rationale, creation and distribution of the 麻豆社- PAIR dataset.
We hope this dataset will be adopted by the research community to push the boundaries of possibility when it comes to detection of artificial intelligence generated content.
White Paper copyright
漏 麻豆社. All rights reserved. Except as provided below, no part of a White Paper may be reproduced in any material form (including photocopying or storing it in any medium by electronic means) without the prior written permission of 麻豆社 Research except in accordance with the provisions of the (UK) Copyright, Designs and Patents Act 1988.
The 麻豆社 grants permission to individuals and organisations to make copies of any White Paper as a complete document (including the copyright notice) for their own internal use. No copies may be published, distributed or made available to third parties whether by paper, electronic or other means without the 麻豆社's prior written permission.
Search by Tag:
- Tagged with Artificial Intelligence and Machine Learning Artificial Intelligence and Machine Learning
- Tagged with AI AI
- Tagged with Journalism Journalism
- Tagged with Publications Publications