Privacy

Introduction TL;DR: AI psychology now investigates human-AI trust, ethics, and clinical efficacy in mental health, with recent trials confirming chatbot therapy’s value. Key risks, privacy, and regulation take precedence in global and Korean contexts. In 2025, core research focuses on cognitive modeling with AI, overcoming shortages in mental health care, and implementing robust ethical and legal safeguards. AI Psychology: Core Concepts Human-AI Interaction, Trust, and Cognitive Modeling Modern AI models can predict diverse human behaviors, simulate psychological experiments, and offer insights on trust and error propagation effects. AI “virtual labs” now empower researchers to expand experimental scope and precision across decision-making, memory, and problem-solving tasks. ...

Introduction TL;DR: Open Notebook is the leading open-source, self-hosted AI research platform that offers full data sovereignty and supports over 16 different LLM providers, positioning it as a powerful alternative to Google NotebookLM for practitioners concerned about privacy and customization. Free alternatives like Nut Studio also offer extensive model support and control, rapidly changing the landscape of AI-powered research in 2025. Open Notebook, released under the MIT License, tackles the core limitations of commercial cloud-based AI note-taking tools like Google NotebookLM: vendor lock-in and mandatory cloud data storage. Its design prioritizes flexibility and security for engineers and researchers dealing with sensitive information. The Architecture of Open Notebook: Sovereignty and Choice Data Control Through Self-Hosting Open Notebook is built around a privacy-first, self-hosted architecture. This means all research materials, notes, and vector embeddings are stored locally or on a user-chosen server (on-premises or private cloud), ensuring complete control over the data lifecycle. The common deployment method leverages Docker for a straightforward, containerized setup. ...