Generative artificial intelligence can make powerful artifacts when used at scale, but developing trust in these artifacts and controlling their creation are essential for user adoption.

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Cite This Study

Jovanovic et al. (Tue,) studied this question.

synapsesocial.com/papers/6a08d86327ceb0c2a2d605b7 https://doi.org/https://doi.org/10.1109/mc.2022.3192720

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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics2023 · 14,236 citations
2Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges2021 · 557 citations
3ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks2019 · 3,912 citations
4GauGAN2019 · 126 citations
5Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding2022 · 2,108 citations