DeepMind Blog
Nov 11, 2025
Teaching AI to see the world more like we do
Our new paper analyzes the important ways AI systems organize the visual world differently from humans.
Exploring the context of online images with Backstory
New experimental AI tool helps people explore the context and origin of images seen online.
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arXiv AI
Jun 30
Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images
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OpenAI Blog
May 19
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arXiv AI
Jun 24
Multimedia and Visual Analytics in the Agentic Era
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arXiv AI
Jun 16
Is My Vision-Language Data in Your AI? Membership Inference Test (MINT) Demo 2
arXiv:2606. 14748v1 Announce Type: cross Abstract: We present the Membership Inference Test (MINT) Demo 2, a framework designed to improve transparency in machine learning training processes.
OpenAI Blog
Mar 4, 2021
Multimodal neurons in artificial neural networks
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arXiv AI
Aug 7
Challenges in Evaluating Explanation Methods for Static and Evolving Data
arXiv:2608. 06351v1 Announce Type: new Abstract: This paper addresses the limitations of Explainable Artificial Intelligence (XAI) with respect to insufficient evaluation.
arXiv Machine Learning
Jun 26
Adversarial Robustness of AI-Generated Image Detectors in the Real World
arXiv:2410. 01574v4 Announce Type: replace-cross Abstract: The rapid advancement of Generative Artificial Intelligence (GenAI) capabilities is accompanied by a concerning rise in its misuse.
arXiv AI
Jul 22
Querying Multimodal Scientific Papers with AI: Practices and Preferences Across Blind, Low-Vision, and Sighted Scientists
arXiv:2607. 18514v1 Announce Type: cross Abstract: Visual diagrams, figures, and tables are central to scientific papers, and convey information beyond what is captured in text.
Towards Data Science
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The Power and Pitfalls of Vector-Based Image Search
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arXiv AI
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Defake-o3: From Speculative Rationales to Verifiable Evidence for Explainable AIGI Detection
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