tournesol-app/tournesol

Free and open source code of the https://tournesol.app platform. Meet the community on Discord https://discord.gg/WvcSG55Bf3

Language: Python - Size: 22.8 MB - Last synced: 7 days ago - Pushed: 7 days ago - Stars: 314 - Forks: 46

EthicalML/awesome-artificial-intelligence-guidelines

This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

Size: 5.16 MB - Last synced: 12 days ago - Pushed: 3 months ago - Stars: 1,199 - Forks: 155

gigikenneth/ai-ethics-resources

Resources on tech and AI ethics.

Size: 318 KB - Last synced: 23 days ago - Pushed: 23 days ago - Stars: 3 - Forks: 1

minbeomkim/Constitutional-AI-awesome-papers

Paper lists about 'Constitutional AI System' or 'AI under Ethical Guidelines'

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Roll4d4/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.

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levintech/kaggle-courses

Courses on Kaggle

Language: Jupyter Notebook - Size: 7.51 MB - Last synced: about 2 months ago - Pushed: 7 months ago - Stars: 46 - Forks: 15

Nkluge-correa/worldwide_AI-ethics

Worldwide AI Ethics (WAIE) is a systematic literature review done by AIRES researchers at PUCRS.

Language: Jupyter Notebook - Size: 163 MB - Last synced: about 2 months ago - Pushed: 3 months ago - Stars: 7 - Forks: 1

ocatak/trustworthyai

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 machine learning, federated learning, and more.

Language: Jupyter Notebook - Size: 50.5 MB - Last synced: about 2 months ago - Pushed: 3 months ago - Stars: 3 - Forks: 1

afondiel/Intro-to-AI-Ethics-Free-Course-Kaggle

Explore practical tools to guide the moral design of AI systems.

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radames/Machine-Learning-Ethics-References 📦

List of references about Machine Learning bias and ethics

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ramtiin/Detecting-Machine-Generated-Text

Language: Jupyter Notebook - Size: 1.76 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0

ramtiin/Watermarking-Algorithm-Analysis-on-BART-Model-using-CNN-Dataset

Language: Jupyter Notebook - Size: 846 KB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0

CurtisThompson/kaggle-courses

My notes and notebooks for Kaggle learning courses.

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ryanmio/AI-Ethics-and-Policy

This repository provides comprehensive guidelines, frameworks, and sample policies for the ethical and effective integration of AI in progressive organizations. It serves as a platform for discussion and collaboration on AI governance and ethics.

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ryanmio/AI-Sample-Policy Fork of codehopelabs/codehopelabs.github.io

Guidelines and frameworks for ethical AI integration and management in progressive organizations.

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alan-turing-institute/Intro-to-transparent-ML-course

An Introduction to Transparent Machine Learning

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pykale/transparentML

An Introduction to Transparent Machine Learning

Language: Jupyter Notebook - Size: 186 MB - Last synced: 21 days ago - Pushed: 4 months ago - Stars: 12 - Forks: 12

rayruchira/Paper-Reviews

Reviews of papers related to robot learning, computer vision, audio , NLP and AI Ethics

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SciEcon/blockchain-ethics

Replication Code for: AI Ethics on Blockchain: Topic Analysis on Twitter Data for Blockchain Security

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HCI-Blockchain/NFT-2023

Replication Code for: On the Mechanics of NFT Valuation: AI Ethics and Social Media

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Ultrabyte-Labs/AI-ALF

Artificial Intelligence Attitude and Literacy Framework

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gigikenneth/ai-ethical-implications

Comparing AI policies and strategies.

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ethicsai/ethical-smart-grid

Reinforcement learning environment for learning ethical behaviours in a SmartGrid use-case.

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paritoshk/paritoshk

I spend over ten years writing code and applying math and science. in each keystroke I found joy. I see life is a system that has variable entropy (E). Every process (p[i]) generates dE and my job is to understand what dE(p[i]) means.

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colorsquare/lipstick-on-a-pig

Debiasing methods on contextualised embeddings are ineffective - CS475

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PracticumAI/ethics 📦

Practicum AI Ethics workshop.

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Liquid-Legal-Institute/Corporate-Digital-Responsibility

We aim at developing a framework to promote the integration of CDR principles in the legal sector combining the LLI digital ethics code with a practical ethical legal innovation roadmap.

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IBMDeveloperMEA/AI-Ethics Fork of asnajaved/Identify-and-remove-bias-from-AI-models-using-Watson-Studio

Fairness in data, and machine learning algorithms is critical to building safe and responsible AI systems from the ground up by design. Both technical and business AI stakeholders are in constant pursuit of fairness to ensure they meaningfully address problems like AI bias. While accuracy is one metric for evaluating the accuracy of a machine learning model, fairness gives us a way to understand the practical implications of deploying the model in a real-world situation.

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dilettagoglia/AI-social-ethical-issues

Social and Ethical Issues in Information Technology - material and project

Size: 5.4 MB - Last synced: 11 months ago - Pushed: over 3 years ago - Stars: 2 - Forks: 0