Results 11 to 20 of about 1,527,016 (289)

Generative AI in Advertising

open access: yesIT Professional
openThe rapid evolution of Generative Artificial Intelligence (GenAI) tools, including technologies like Generative Adversarial Networks (GANs), Large Language Models (LLMs), and tools such as ChatGPT, Midjourney, and DALL·E, is transforming the ...
JALALINEJAD, REYHANEH
core   +3 more sources

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   +8 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

Generative AI and Algorithmic Art: Disrupting the Framing of Meaning and Rethinking the Subject-Object Dilemma [PDF]

open access: yes, 2023
In the revision of treatments of contemporary art in the 21st century art historians are recognizing 2022 as the dawn of the age of creative artificial intelligence AI The emergence of generative AI tools like ChatGPT and Stable Diffusion in late ...
Morgan Harper-Nichols, James Hutson
core   +1 more source

Student Perspectives on the Usage of Generative Artificial Intelligence (AI)

open access: yes, 2023
Students hold diverse views on the application of generative AI in education, showing a nuanced understanding of its implications. They generally agree that using AI to create entire essays for submission is inappropriate, but find its usage acceptable ...
Rawlinson, S.
core   +3 more sources

ChatGPT and Generative AI in IT Processes [PDF]

open access: yes, 2023
The research question is how to use generative AI, specifically ChatGPT, to improve IT processes. This research will explore the various ways in which ChatGPT can be used to improve IT processes, including automating tasks, reducing manual labor, and ...
Ma, Chuan
core   +1 more source

Effective Generative AI: The Human-Algorithm Centaur

open access: yes, 2023
In this article, we focus on recent advancements in Generative AI, and especially in Large Language Models (LLMs). We first present a framework that allows understanding the core characteristics of centaurs.
Saghafian, Soroush
core   +4 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 ...
Katherine Lee   +2 more
openaire   +2 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 0001   +11 more
openaire   +2 more sources

On the usability of generative AI: Human generative AI

open access: yesCoRR
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.
Anna Ravera, Cristina Gena
openaire   +3 more sources

Home - About - Disclaimer - Privacy