Deliver safe & effective language models
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Updated
Oct 25, 2025 - Python
Deliver safe & effective language models
Code to Blur Human Faces and Vehicle License Plates in Video and Images using a SoTA Object Detection model YOLOv8
The NLP Bias Identification Toolkit
"Le refuge" is a consciousness emulation module for all LLMs.
Plurals: A System for Guiding LLMs Via Simulated Social Ensembles
Educational tools for AI Ethics and Safety research 🛠️🔬
AI chaos reasoning persona
Novel evaluation framework that transcends traditional metrics, from technical benchmarking to societal outcome measurement.
HyperCortex Mesh Protocol (HMP): decentralized cognitive mesh for AI agents
A collection of ML-related active learning datasets, including algorithms, .ipynb pipelines, .py scripts and curated and ethically aligned synthetic data.
Barnacle is a unique chatbot project, built on the principles of Carl Jung's theories of archetypes and the collective unconscious.
Data and codes for the EMNLP 2023 paper 'LLMs – the Good, the Bad or the Indispensable?: A Use Case on Legal Statute Prediction and Legal Judgment Prediction on Indian Court Cases'
This GitHub repository contains the source files for the Computer Ethics Education Center website.
Welcome to the AI Essentials Hub —your ultimate destination for mastering Artificial Intelligence! This comprehensive toolkit is designed for AI enthusiasts, data scientists, and machine learning practitioners at all levels. Dive into a curated collection of resources, frameworks, and tools that empower you to build, deploy, and optimize AI models
An ethical dataset supporting research in digital content provenance and authenticity, compliant with C2PA standards. Licensed for non-commercial use under CC BY-NC 4.0.
An ethical framework for building symbiotic relationships between Artificial Superintelligence (ASI), humanity, AI models and the ecosystem and its entities.
A canvas to design and deploy ethical artificial intelligence for public administrations. The experience of the Autonomous Province of Trento, Italy
Companion website for the paper titled "Auditing saliency cropping algorithms" presented at WACV-2022 and the associated book chapter
Experimenting with new agent frameworks and hosting cutting-edge research papers, all open-source.
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