Results 1 to 10 of about 39,987 (117)

Generative AI

open access: yesBusiness & Information Systems Engineering, 2023
The term "generative AI" refers to computational techniques that are capable of generating seemingly new, meaningful content such as text, images, or audio from training data. The widespread diffusion of this technology with examples such as Dall-E 2, GPT-4, and Copilot is currently revolutionizing the way we work and communicate with each other.
Stefan Feuerriegel   +3 more
openaire   +6 more sources

Editorial: Generative AI in education [PDF]

open access: yesFrontiers in Artificial Intelligence
Diego Zapata-Rivera   +5 more
openaire   +3 more sources

Generative Ai at Work

open access: yesSSRN Electronic Journal, 2023
Abstract We study the staggered introduction of a generative AI–based conversational assistant using data from 5,172 customer-support agents. Access to AI assistance increases worker productivity, as measured by issues resolved per hour, by 15% on average, with substantial heterogeneity across workers.
Brynjolfsson, Erik   +2 more
openaire   +2 more sources

Talkin’ ‘Bout AI Generation: Copyright and the Generative AI Supply Chain

open access: yesSSRN Electronic Journal, 2023
"Does generative AI infringe copyright?" is an urgent question. It is also a difficult question, for two reasons. First, "generative AI" is not just one product from one company. It is a catch-all name for a massive ecosystem of loosely related technologies, including conversational text chatbots like ChatGPT, image generators like Midjourney and DALL ...
Lee, Katherine   +2 more
openaire   +2 more sources

AI vs. AI: Can AI Detect AI-Generated Images?

open access: yesJournal of Imaging, 2023
The proliferation of Artificial Intelligence (AI) models such as Generative Adversarial Networks (GANs) has shown impressive success in image synthesis. Artificial GAN-based synthesized images have been widely spread over the Internet with the advancement in generating naturalistic and photo-realistic images.
Samah S. Baraheem, Tam V. Nguyen
openaire   +3 more sources

The Age of Generative AI and AI-Generated Everything

open access: yesIEEE Network
Generative AI (GAI) has emerged as a significant advancement in artificial intelligence, renowned for its language and image generation capabilities. This paper presents ``AI-Generated Everything'' (AIGX), a concept that extends GAI beyond mere content creation to real-time adaptation and control across diverse technological domains.
Hongyang Du   +11 more
openaire   +2 more sources

The Spread of AI-Generated Misinformation

open access: yes, 2023
The research aims to investigate the impact of artificial intelligence on the spread of misinformation and disinformation in the digital age. It will explore the development of generative AI models that produce sophisticated yet misleading content, and assess current detection methods and mitigation strategies.
openaire   +2 more sources

Generative AI in Multimedia

open access: yes, 2023
This paper presents a comprehensive overview of a revolutionary multimedia creation platform that can leverage generative artificial intelligence (AI) techniques to facilitate concept art creation, music composition trials, preliminary draft script writing, and quick idea visualization. The platform harnesses the power of OpenAI API to deliver distinct
Suraj Netla Mundaje   +2 more
openaire   +1 more source

On the usability of generative AI: Human generative AI

open access: yes
Generative AI systems are transforming content creation, but their usability remains a key challenge. This paper examines usability factors such as user experience, transparency, control, and cognitive load. Common challenges include unpredictability and difficulties in fine-tuning outputs.
Ravera, Anna, Gena, Cristina
openaire   +2 more sources

AI and Generative AI for Research Discovery and Summarization

open access: yesHarvard Data Science Review
AI and generative AI tools, including chatbots like ChatGPT that rely on large language models (LLMs), have burst onto the scene this year, creating incredible opportunities to increase work productivity and improve our lives. Statisticians and data scientists have begun experiencing the benefits from the availability of these tools in numerous ways ...
Mark Glickman, Yi Zhang
openaire   +3 more sources

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