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 …
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 …
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
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 …
research reveals that our reasoning ability suffers from personal biases and cognitive …
A representative study on human detection of artificially generated media across countries
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 …
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?
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 …
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 …
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 …
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
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 …
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
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 …
practical questions about people's ability to detect false information online. How vulnerable …
Deepfake detection in super-recognizers and police officers
We examined human deepfake detection performance (DDP) in relation to face identity
processing ability among Berlin Police officers, including Super-Recognizers (SRs). While …
processing ability among Berlin Police officers, including Super-Recognizers (SRs). While …