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AI-based text-to-image generation has undergone a significant leap in the production of visually comprehensive and aesthetic imagery over the past year, to the point where differentiating between a man-made piece of art and an AI-generated…

Computers and Society · Computer Science 2023-06-06 Sarah K. Amer

Generative AI, such as large language models, has undergone rapid development within recent years. As these models become increasingly available to the public, concerns arise about perpetuating and amplifying harmful biases in applications.…

Computation and Language · Computer Science 2024-09-04 Sara Sterlie , Nina Weng , Aasa Feragen

Humankind is entering a novel creative era in which anybody can synthesize digital information using generative artificial intelligence (AI). Text-to-image generation, in particular, has become vastly popular and millions of practitioners…

Computers and Society · Computer Science 2024-09-04 Jonas Oppenlaender

This paper aims to help structure the risk landscape associated with large-scale Language Models (LMs). In order to foster advances in responsible innovation, an in-depth understanding of the potential risks posed by these models is needed.…

The ability of image and video generation models to create photorealistic images has reached unprecedented heights, making it difficult to distinguish between real and fake images in many cases. However, despite this progress, a gap remains…

Computer Vision and Pattern Recognition · Computer Science 2024-06-21 Ali Borji

Responding to the rapid roll-out and large-scale commercialization of foundation models, large language models, and generative AI, an emerging body of work is shedding light on the myriad impacts these technologies are having across…

Generative artificial intelligence models, when trained on a sufficient number of a person's images, can replicate their identifying features in a photorealistic manner. We refer to this process as 'likeness generation'. Likeness-featuring…

Computers and Society · Computer Science 2024-07-18 Ben Bariach , Bernie Hogan , Keegan McBride

Recent advances in the field of generative artificial intelligence (AI) have blurred the lines between authentic and machine-generated content, making it almost impossible for humans to distinguish between such media. One notable…

Cryptography and Security · Computer Science 2024-10-04 Jonas Ricker , Dennis Assenmacher , Thorsten Holz , Asja Fischer , Erwin Quiring

Text-to-image diffusion models have achieved widespread popularity due to their unprecedented image generation capability. In particular, their ability to synthesize and modify human faces has spurred research into using generated face…

Computer Vision and Pattern Recognition · Computer Science 2023-12-22 Harrison Rosenberg , Shimaa Ahmed , Guruprasad V Ramesh , Ramya Korlakai Vinayak , Kassem Fawaz

Recently, there has been significant progress in the development of large models. Following the success of ChatGPT, numerous language models have been introduced, demonstrating remarkable performance. Similar advancements have also been…

Computer Vision and Pattern Recognition · Computer Science 2023-08-28 Tianyi Zhang , Zheng Wang , Jing Huang , Mohiuddin Muhammad Tasnim , Wei Shi

Some have criticised Generative AI Systems for replicating the familiar pathologies of already widely-deployed AI systems. Other critics highlight how they foreshadow vastly more powerful future systems, which might threaten humanity's…

Computers and Society · Computer Science 2024-10-21 Seth Lazar

Machine learning models that convert user-written text descriptions into images are now widely available online and used by millions of users to generate millions of images a day. We investigate the potential for these models to amplify…

Gender bias in artificial intelligence (AI) and natural language processing has garnered significant attention due to its potential impact on societal perceptions and biases. This research paper aims to analyze gender bias in Large Language…

Computation and Language · Computer Science 2023-09-04 Vishesh Thakur

The widely adopted and powerful generative large language models (LLMs) have raised concerns about intellectual property rights violations and the spread of machine-generated misinformation. Watermarking serves as a promising approch to…

Cryptography and Security · Computer Science 2024-10-28 Ruisi Zhang , Farinaz Koushanfar

The advent of generative artificial intelligence and the widespread adoption of it in society engendered intensive debates about its ethical implications and risks. These risks often differ from those associated with traditional…

Computers and Society · Computer Science 2024-09-18 Thilo Hagendorff

Large language models (LLMs) have shown significant potential to change how we write, communicate, and create, leading to rapid adoption across society. This dissertation examines how individuals and institutions are adapting to and…

Computation and Language · Computer Science 2025-06-24 Weixin Liang

Generative AI is an emerging technology that will have a profound impact on society and individuals. Only a decade ago, it was thought that creative work would be among the last to be automated - yet today, we see AI encroaching on creative…

Human-Computer Interaction · Computer Science 2023-05-03 Jonas Oppenlaender , Aku Visuri , Ville Paananen , Rhema Linder , Johanna Silvennoinen

With the advent of large multimodal language models, science is now at a threshold of an AI-based technological transformation. An emerging ecosystem of models and tools aims to support researchers throughout the scientific lifecycle,…

Reduced social connectedness increasingly poses a threat to mental health, life expectancy, and general well-being. Generative AI (GAI) technologies, such as large language models (LLMs) and image generation tools, are increasingly…

Human-Computer Interaction · Computer Science 2025-06-13 T. T. J. E. Arets , G. Perugia , M. Houben , W. A. IJsselsteijn

Progress in natural language generation research has been shaped by the ever-growing size of language models. While large language models pre-trained on web data can generate human-sounding text, they also reproduce social biases and…

Computation and Language · Computer Science 2023-06-06 Celine Wald , Lukas Pfahler