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The Brooklyn G.H.O.S.T Group

Public·9 members

Galadriel GalaGaladriel Gala
Galadriel Gala

What role should explicit consent play when AI tools are used to modify images of real people? Should platforms require stronger age verification, reporting systems, and rapid removal procedures to reduce misuse? I’m also interested in how users and AI companies can balance legitimate creative applications with privacy, consent, and protection from non-consensual manipulation.

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Daeron Daeron
Sep 23

I think explicit consent should be the starting point whenever AI tools website are used to modify images of real people. Users should only upload or transform images when they have permission and should never use these tools to create intimate or misleading content involving someone who has not agreed to it. Images of minors should be completely off-limits for this type of manipulation. Platforms can support responsible use through strong age controls, clear policies, reporting systems, rapid removal procedures, and safeguards against non-consensual content. Users also have a responsibility to understand the rules and respect other people’s privacy. Clear education and transparent enforcement can help reduce misuse while allowing legitimate creative applications.

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gebegic185gebegic185
gebegic185

Enhancing Diagnosis and Surgical Precision: The Integration and Market Potential of Computer Vision and Artificial Intelligence in Medical Imaging

The Computer Vision in Healthcare Market is experiencing an explosive growth phase, positioned at the nexus of artificial intelligence (AI) and medical imaging, revolutionizing how diseases are detected, diagnosed, and treated. The market is primarily driven by the exponential increase in the volume of medical image data (X-rays, CT scans, MRIs, and pathology slides) and the critical need to enhance the speed and accuracy of diagnostic interpretations, mitigating the risk of human error and burnout among radiologists. Computer vision algorithms, leveraging Deep Learning and Convolutional Neural Networks (CNNs), are being trained on vast datasets to automatically detect subtle anomalies, classify lesions, and perform quantitative analysis of medical images, often exceeding human performance in specific tasks. This technology significantly assists in early disease detection across oncology, ophthalmology (e.g., diabetic retinopathy), and cardiology,…


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Aoki Terrell
Aoki Terrell
September 25, 2023 · added a group cover image.
Aoki Terrell
Aoki Terrell

Welcome to our group The Brooklyn G.H.O.S Group! A space for us to connect and share with each other. Start by posting your thoughts, sharing media, or creating a poll.

    Members

    • Saed Koore
      Saed Koore
    • gebegic185gebegic185
      gebegic185
    • Armanii B. Courtesy
      Armanii B. Courtesy
    • atasha johnson
      atasha johnson
    • Galadriel GalaGaladriel Gala
      Galadriel Gala
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