ai-control

A python library built on top of UKAISI Inspect to support Control research, by Redwood

🚦🗺️ UrbanFlow AI is a web app for generating 3D traffic simulations from real OpenStreetMap areas. It builds SUMO scenarios, runs microscopic vehicles, pedestrians, buses and trams, edits road events, controls real traffic lights with TraCI, trains JSON AI policies, saves models, and shows live metrics, charts, and notebooks.

Research developing AI control protocols using task decomposition

An intelligent traffic management system that dynamically adjusts highway lane configurations using AI-powered congestion detection and a movable median barrier.

Judge-first framework where LLM outputs must converge under explicit, adversarial oracles.

Python client for Aegis — stabilize AI systems instantly with a simple API call.

In-depth exploration of Large Language Models (LLMs), their potential biases, limitations, and the challenges in controlling their outputs. It also includes a Flask application that uses an LLM to perform research on a company and generate a report on its potential for partnership opportunities.

White-box detection of collusion in an untrusted monitor: model organisms, linear probes, and a control evaluation that prices what they buy.

Kho lưu trữ này chứa tài liệu, bài tập, và mã nguồn liên quan đến môn Trí tuệ nhân tạo trong điều khiển. Môn học tập trung vào ứng dụng AI trong các hệ thống điều khiển tự động, bao gồm lý thuyết và thực hành.

Independent AI governance and control standard

AI Governance — human-controlled code injection with oversight

Lichtarbeit

GG Tank Watch - frozen public-information archive of a resolved May 2026 chemical emergency. Conduit-only design; responsible-AI safety patterns enforced in code and tests.

The project evaluates whether a lightweight hardening layer can recover robustness without redesigning the surrounding protocol. The method combines transcript sanitization, explicit instruction-data separation, and an optional prompt-diversity ensemble.

AutoRed: Measuring the Elicitation Gap via Automated Red-Blue Optimization — AI Control Hackathon 2026

Control protocols robust to a monitor-aware adversary — empirical AI-control eval on the APPS backdoor testbed (open-weight models).

A compact AI-control benchmark for trusted monitoring of untrusted coding agents.

Train and optimize AI model behavior with configurable limit constraints.

Trace-based agent safety monitor trained on malicious PyPI packages

Gesture-Based PC Controller lets you control your computer with hand gestures using your webcam. It uses computer vision to enable hands-free actions like moving the mouse, scrolling, and adjusting volume or brightness.