Creating, using, misusing, and detecting deep fakes

H Farid - Journal of Online Trust and Safety, 2022 - tsjournal.org
Synthetic media—so-called deep fakes—have captured the imagination of some and struck
fear in others. Although they vary in their form and creation, deep fakes refer to text, image …

Factuality challenges in the era of large language models and opportunities for fact-checking

I Augenstein, T Baldwin, M Cha… - Nature Machine …, 2024 - nature.com
The emergence of tools based on large language models (LLMs), such as OpenAI's
ChatGPT and Google's Gemini, has garnered immense public attention owing to their …

Don't just tell me, ask me: Ai systems that intelligently frame explanations as questions improve human logical discernment accuracy over causal ai explanations

V Danry, P Pataranutaporn, Y Mao… - Proceedings of the 2023 …, 2023 - dl.acm.org
Critical thinking is an essential human skill. Despite the importance of critical thinking,
research reveals that our reasoning ability suffers from personal biases and cognitive …

A representative study on human detection of artificially generated media across countries

J Frank, F Herbert, J Ricker, L Schönherr… - … IEEE Symposium on …, 2024 - ieeexplore.ieee.org
AI-generated media has become a threat to our digital society as we know it. Forgeries can
be created automatically and on a large scale based on publicly available technologies …

[PDF][PDF] What label should be applied to content produced by generative AI?

Z Epstein, AA Arechar, D Rand - 2023 - files.osf.io
In this paper, we help to advance the understanding of how to effectively label content
generated by AI. First, we highlight that there are two fundamentally different goals of …

Identifying the context shift between test benchmarks and production data

M Groh - arXiv preprint arXiv:2207.01059, 2022 - arxiv.org
Machine learning models are often brittle on production data despite achieving high
accuracy on benchmark datasets. Benchmark datasets have traditionally served dual …

As good as a coin toss human detection of ai-generated images, videos, audio, and audiovisual stimuli

D Cooke, A Edwards, S Barkoff, K Kelly - arXiv preprint arXiv:2403.16760, 2024 - arxiv.org
As synthetic media becomes progressively more realistic and barriers to using it continue to
lower, the technology has been increasingly utilized for malicious purposes, from financial …

Towards mitigating uncann (eye) ness in face swaps via gaze-centric loss terms

E Wilson, F Shic, S Jörg, E Jain - Computers & Graphics, 2024 - Elsevier
Advances in face swapping have enabled the automatic generation of highly realistic faces.
Yet face swaps are perceived differently than when looking at real faces, with key …

Artifact magnification on deepfake videos increases human detection and subjective confidence

E Josephs, C Fosco, A Oliva - arXiv preprint arXiv:2304.04733, 2023 - arxiv.org
The development of technologies for easily and automatically falsifying video has raised
practical questions about people's ability to detect false information online. How vulnerable …

Deepfake detection in super-recognizers and police officers

M Ramon, M Vowels, M Groh - IEEE Security & Privacy, 2024 - ieeexplore.ieee.org
We examined human deepfake detection performance (DDP) in relation to face identity
processing ability among Berlin Police officers, including Super-Recognizers (SRs). While …