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ethical-ai

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A curated list of awesome academic research, books, code of ethics, data sets, institutes, maturity models, newsletters, principles, podcasts, reports, tools, regulations and standards related to Responsible, Trustworthy, and Human-Centered AI.

  • Updated Jul 17, 2025

Experimental interface environment for open source LLM, designed to democratize the use of AI. Powered by llama-cpp, llama-cpp-python and Gradio.

  • Updated Jul 19, 2025
  • Python

NudeDetect is a Python-based tool for detecting nudity and adult content in images. This project combines the capabilities of the NudeNet library, EasyOCR for text detection, and the Better Profanity library for identifying offensive language in text.

  • Updated Jan 1, 2025
  • Python

Trustworthy AI: From Theory to Practice book. Explore the intersection of ethics and technology with 'Trustworthy AI: From Theory to Practice.' This comprehensive guide delves into creating AI models that prioritize privacy, security, and robustness. Featuring practical examples in Python, it covers uncertainty quantification, adversarial ML

  • Updated Feb 23, 2024
  • Jupyter Notebook

PRISM: A Multi-Perspective AI Alignment Framework for Ethical AI (Demo: https://app.prismframework.ai | Paper: https://arxiv.org/abs/2503.04740)

machine-learning reinforcement-learning cognitive-science multi-objective-optimization ai-alignment ethical-ai large-language-models < 9E81 a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":2475222,"originating_url":"https://github.com/topics/ethical-ai","user_id":null}}" data-hydro-click-hmac="7f801e6469e1252dcdd58ea6d25ba9af1492e34bdf8caeb39f118424930720d7" title="Topic: value-alignment" href="/topics/value-alignment" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">value-alignment computational-ethics llm-integration multi-perspective-reasoning pareto-optimization
  • Updated Jun 3, 2025
  • TypeScript
KLEP

KLEP (Key-Lock-Executable-Process) is a groundbreaking AI framework that utilizes symbolic AI for dynamic decision-making. It integrates keys, locks, executables, and processes to foster ethical, modular, and transparent AI applications, offering a novel approach for developers and researchers in AI and cognitive science.

  • Updated Feb 24, 2025
  • C#

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