Search alternatives:
perception algorithm » description algorithm (Expand Search), detection algorithm (Expand Search), encryption algorithm (Expand Search)
context perception » control perception (Expand Search), context selection (Expand Search), hunter perception (Expand Search)
perception algorithm » description algorithm (Expand Search), detection algorithm (Expand Search), encryption algorithm (Expand Search)
context perception » control perception (Expand Search), context selection (Expand Search), hunter perception (Expand Search)
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Generative AI and Journalism: Content, Journalistic Perceptions, and Audience Experiences
Published 2025“…These biases exist because of human biases embedded in training data and/or the conscious or unconscious biases of those who develop AI algorithms and models. Attempts to algorithmically “force” output diversity by default have failed, sometimes dramatically. …”
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<b>External attribution to economic inequality increases algorithm preference</b>
Published 2025“…Future research should attend to potential backfire effects of algorithmic interventions, particularly the risk of undermining individuals’perceptions of fairness in unequal contexts.…”
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Ethics of algorithmic invasiveness in beauty apps: an online experimental survey of public perspectives
Published 2025“…In this study, we focus on the concept of algorithmic invasiveness – defined as the tendency of AI algorithms to increasingly influence and integrate into our daily lives. …”
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Number of Topics (Second Image).
Published 2025“…Therefore, a critical question arises: can large language models (LLMs), such as GPT-4o, accurately reflect human perceptions of urban environments? This study aims to address this question by comparing GPT-4o's evaluations of visual urban scenes with human perceptions, specifically in the context of urban walkability. …”
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Research Methodology.
Published 2025“…Therefore, a critical question arises: can large language models (LLMs), such as GPT-4o, accurately reflect human perceptions of urban environments? This study aims to address this question by comparing GPT-4o's evaluations of visual urban scenes with human perceptions, specifically in the context of urban walkability. …”
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Number of Topics (First Image).
Published 2025“…Therefore, a critical question arises: can large language models (LLMs), such as GPT-4o, accurately reflect human perceptions of urban environments? This study aims to address this question by comparing GPT-4o's evaluations of visual urban scenes with human perceptions, specifically in the context of urban walkability. …”
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Vaccines, Public Health, and the Politics of Immunity: Safety, Debate, and Global Perspectives
Published 2025“…</li><li><b>Social Media, Misinformation, and Public Behavior:</b><br>The essay emphasizes the role of digital platforms in shaping perceptions, showing how political amplification and algorithm-driven content can accelerate the spread of false claims. …”
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Inter-generational perspectives on taxpayer rights in the digitalised tax system
Published 2025“…Participants were asked about their experiences and perceptions of taxpayer rights in the context of digital tax systems, including eFiling, automated assessments, and online compliance tools.…”
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ICEMES2025_Application of Color Theory in Graphic Design
Published 2025“…The detailed bibliographic study will provide insights into modern technologies, such as quantization algorithms (Median cut, K-means), used to extract and generate relevant color palettes. …”
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Synthetic Realness: Authenticity Collapse in the Age of AI
Published 2025“…The concept reframes authenticity not as a binary but as a perception trap shaped by coherence bias and algorithmic polish.…”
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Brain-in-the-Loop Learning for Intelligent Vehicle Decision-Making
Published 2025“…In this paper, we utilize functional near-infrared spectroscopy (fNIRS) signals as real-time human risk-perception feedback to establish a brain-in-the-loop (BiTL) trained artificial intelligence algorithm for decision-making. …”
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Video 2_Adaptive emergency response and dynamic crowd navigation for mobile robot using deep reinforcement learning.mp4
Published 2025“…A context-aware state representation that combines Light Detection and Ranging (LiDAR)-based obstacle perception, goal orientation, and robot kinematics to enhance situational awareness is developed. …”