Results 1 to 10 of about 4,079,585 (224)
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
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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
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AI vs. AI: Can AI Detect AI-Generated Images?
Journal 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
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Sustainable AI: AI for sustainability and the sustainability of AI [PDF]
AI and Ethics, 2021 AbstractWhile there is a growing effort towards AI for Sustainability (e.g. towards the sustainable development goals) it is time to move beyond that and to address the sustainability of developing and using AI systems. In this paper I propose a definition of Sustainable AI; Sustainable AI is a movement to foster change in the entire lifecycle of AI ...
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Governance of the AI, by the AI, and for the AI
, 2023 20 ...
Torrance, Andrew W., Tomlinson, Bill
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AI for AI: Using AI methods for classifying AI science documents
Quantitative Science Studies, 2022 Abstract Subject area classification is an important first phase in the entire process involved in bibliometrics. In this paper, we explore the possibility of using automated algorithms for classifying scientific papers related to Artificial Intelligence at the document level.
Evi Sachini +3 more
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Business & 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
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From ”Explainable AI” to ”Graspable AI”
Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction, 2021 Since the advent of Artificial Intelligence (AI) and Machine Learning (ML), researchers have asked how intelligent computing systems could interact with and relate to their users and their surroundings, leading to debates around issues of biased AI systems, ML black-box, user trust, user’s perception of control over the system, and system’s ...
Ghajargar, Maliheh +7 more
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Teaching Artificial Intelligence (AI) with AI for AI applications
The International FLAIRS Conference Proceedings, 2023 The emergence of widely-used artificial intelligence (AI) has created a critical need for AI expertise, not just as a research area but for workers in the wide variety of careers and roles that AI disrupts. While AI is still an area of research for new processing, application, and development – it continues to partially automate, augment, or replace ...
Keith Brawner, Ning Wang, Ben Nye
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Self-ordered nanoporous lattice formed by chlorine atoms on Au(111) [PDF]
, 2016 A self-ordered nanoporous lattice formed by individual chlorine atoms on the Au(111) surface has been studied with low-temperature scanning tunneling microscopy, low-energy electron diffraction, and density functional theory calculations.
Andryushechkin, B. V. +8 more
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