An overview of catastrophic ai risks

D Hendrycks, M Mazeika, T Woodside - arXiv preprint arXiv:2306.12001, 2023 - arxiv.org
Rapid advancements in artificial intelligence (AI) have sparked growing concerns among
experts, policymakers, and world leaders regarding the potential for increasingly advanced …

Artificial Intelligence Trust, Risk and Security Management (AI TRiSM): Frameworks, applications, challenges and future research directions

A Habbal, MK Ali, MA Abuzaraida - Expert Systems with Applications, 2024 - Elsevier
Artificial Intelligence (AI) has become pervasive, enabling transformative advancements in
various industries including smart city, smart healthcare, smart manufacturing, smart virtual …

Lion: Latent point diffusion models for 3d shape generation

A Vahdat, F Williams, Z Gojcic… - Advances in …, 2022 - proceedings.neurips.cc
Denoising diffusion models (DDMs) have shown promising results in 3D point cloud
synthesis. To advance 3D DDMs and make them useful for digital artists, we require (i) high …

[HTML][HTML] ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health

L De Angelis, F Baglivo, G Arzilli, GP Privitera… - Frontiers in Public …, 2023 - frontiersin.org
Large Language Models (LLMs) have recently gathered attention with the release of
ChatGPT, a user-centered chatbot released by OpenAI. In this perspective article, we retrace …

Score-based generative modeling in latent space

A Vahdat, K Kreis, J Kautz - Advances in neural information …, 2021 - proceedings.neurips.cc
Score-based generative models (SGMs) have recently demonstrated impressive results in
terms of both sample quality and distribution coverage. However, they are usually applied …

Editgan: High-precision semantic image editing

H Ling, K Kreis, D Li, SW Kim… - Advances in Neural …, 2021 - proceedings.neurips.cc
Generative adversarial networks (GANs) have recently found applications in image editing.
However, most GAN-based image editing methods often require large-scale datasets with …

Genie: Higher-order denoising diffusion solvers

T Dockhorn, A Vahdat, K Kreis - Advances in Neural …, 2022 - proceedings.neurips.cc
Denoising diffusion models (DDMs) have emerged as a powerful class of generative
models. A forward diffusion process slowly perturbs the data, while a deep model learns to …

Score-based generative modeling with critically-damped langevin diffusion

T Dockhorn, A Vahdat, K Kreis - arXiv preprint arXiv:2112.07068, 2021 - arxiv.org
Score-based generative models (SGMs) have demonstrated remarkable synthesis quality.
SGMs rely on a diffusion process that gradually perturbs the data towards a tractable …

Beyond (mis) representation: Visuals in COVID-19 misinformation

JS Brennen, FM Simon… - The International Journal …, 2021 - journals.sagepub.com
This article provides one of the first analyses of visuals in misinformation concerning COVID-
19. A mixed-methods analysis of ninety-six examples of visuals in misinformation rated false …

Do (microtargeted) deepfakes have real effects on political attitudes?

T Dobber, N Metoui, D Trilling… - … Journal of Press …, 2021 - journals.sagepub.com
Deepfakes are perceived as a powerful form of disinformation. Although many studies have
focused on detecting deepfakes, few have measured their effects on political attitudes, and …