Artificial Intelligence

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If an AI chatbot misleads you, who is to blame? | Bruce Schneier and Nathan E Sanders

ai, AI (Artificial Intelligence), Artificial Intelligence, germany, Google, Law, Law (US), OpenAI, Technology

A court in Germany found that Google was responsible for what its chatbots say in search summaries. This is the accountability we needEarlier this month, a German court ruled that Google is liable for its AI search summaries. Rejecting defenses like “users can check for themselves”, and that they generally know “that information generated with […]

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Samsung opens ChatGPT Enterprise and Codex access after AI restrictions

ai, AI (Artificial Intelligence), AI Business Strategy, AI Hardware & Chips, AI in Action, Artificial Intelligence, business strategy, ChatGPT, hardware, OpenAI, Samsung, Workforce & HR AI, World of Work

Samsung Electronics is expanding employee access to ChatGPT Enterprise and Codex, giving staff wider use of AI tools for technical and non-technical work. According to OpenAI, the deployment covers all Samsung Electronics employees in Korea and all Device eXperience employees worldwide. The DX division includes smartphones, consumer electronics, and home appliances. Samsung plans to use

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Three ways to avoid being fooled by AI slop

ai, AI (Artificial Intelligence), articles, Artificial Intelligence

Marten Newhall/Unsplash By Silvia Montaña-Niño, The University of Melbourne and T.J. Thomson, RMIT University Global society makes billions of images and uploads hundreds of thousands of hours of video on the internet every day. The problem is, some of this content is misleading or downright wrong. And when it’s in visual form, it can be

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Using Graphify and NetworkX to Map Python Codebase Structure with God Nodes, Communities, and Architecture Visualizations

agentic ai, ai, AI (Artificial Intelligence), Artificial Intelligence, Editors Pick, Software engineering, Staff, Tutorials

In this tutorial, we build a fully offline Graphify workflow that turns a realistic multi-module Python application into a knowledge graph. We start by installing Graphify and supporting graph libraries, then generate a small but connected sample application with configuration, database, authentication, service, API, cache, model, and SQL layers. We extract the graph locally using

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