Results 1 to 10 of about 5,396,367 (373)
Business & Information Systems Engineering, 2023 Recent advancements in generative artificial intelligence (AI) have made it possible for machines to independently produce a variety of creative content.
Stefan Feuerriegel +3 more
semanticscholar +7 more sources
Constitutional AI: Harmlessness from AI Feedback [PDF]
arXiv.org, 2022 As AI systems become more capable, we would like to enlist their help to supervise other AIs. We experiment with methods for training a harmless AI assistant through self-improvement, without any human labels identifying harmful outputs.
Yuntao Bai +50 more
semanticscholar +1 more source
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face [PDF]
Neural Information Processing Systems, 2023 Solving complicated AI tasks with different domains and modalities is a key step toward artificial general intelligence. While there are numerous AI models available for various domains and modalities, they cannot handle complicated AI tasks autonomously.
Yongliang Shen +5 more
semanticscholar +1 more source
Smart cities powered by HPC [PDF]
Revista Română de Informatică și Automatică, 2021 This study analyses how High Performance Computing technology can support the development of smart cities and proposes a conceptual model relying on this technology.
Carmen-Ionela ROTUNĂ +2 more
doaj +1 more source
Smart Internet of Things Modular Micro Grow Room Architecture [PDF]
Interdisciplinary Description of Complex Systems, 2022 This article proposes the Internet of Things-based self-sustaining modular grow room architecture for optimising the seed germination and seedling development process.
Igor Tomičić +2 more
doaj +1 more source
Students’ voices on generative AI: perceptions, benefits, and challenges in higher education [PDF]
International Journal of Educational Technology in Higher Education, 2023 This study explores university students’ perceptions of generative AI (GenAI) technologies, such as ChatGPT, in higher education, focusing on familiarity, their willingness to engage, potential benefits and challenges, and effective integration. A survey
C. Chan, Wenjie Hu
semanticscholar +1 more source
Philosophy & Technology, 2020 AbstractThis paper focuses on the fact that AI is predominantly portrayed as white—in colour, ethnicity, or both. We first illustrate the prevalent Whiteness of real and imagined intelligent machines in four categories: humanoid robots, chatbots and virtual assistants, stock images of AI, and portrayals of AI in film and television. We then offer three
Cave, Stephen, Dihal, Kanta
openaire +3 more sources
Representation Engineering: A Top-Down Approach to AI Transparency [PDF]
arXiv.org, 2023 In this paper, we identify and characterize the emerging area of representation engineering (RepE), an approach to enhancing the transparency of AI systems that draws on insights from cognitive neuroscience.
Andy Zou +20 more
semanticscholar +1 more source
AJOB Neuroscience, 2020 AI research is growing rapidly raising various ethical issues related to safety, risks, and other effects widely discussed in the literature. We believe that in order to adequately address those issues and engage in a productive normative discussion it is necessary to examine key concepts and categories. One such category is anthropomorphism.
Salles, Arleen +2 more
openaire +4 more sources
Can AI-Generated Text be Reliably Detected? [PDF]
arXiv.org, 2023 Large Language Models (LLMs) perform impressively well in various applications. However, the potential for misuse of these models in activities such as plagiarism, generating fake news, and spamming has raised concern about their responsible use ...
Vinu Sankar Sadasivan +4 more
semanticscholar +1 more source