ai-ethics
There are 3 repositories under ai-ethics topic.
EthicalML / awesome-artificial-intelligence-guidelines
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
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 314radames / Machine-Learning-Ethics-References
List of references about Machine Learning bias and ethics
levintech / kaggle-courses
Courses on Kaggle
Language:Jupyter Notebook 46pykale / transparentML
An Introduction to Transparent Machine Learning
Language:Jupyter Notebook 12alan-turing-institute / Intro-to-transparent-ML-course
An Introduction to Transparent Machine Learning
Language:Jupyter Notebook 8Nkluge-correa / worldwide_AI-ethics
Worldwide AI Ethics (WAIE) is a systematic literature review done by AIRES researchers at PUCRS.
Language:Jupyter Notebook 7minbeomkim / Constitutional-AI-awesome-papers
Paper lists about 'Constitutional AI System' or 'AI under Ethical Guidelines'
HCI-Blockchain / NFT-2023
Replication Code for: On the Mechanics of NFT Valuation: AI Ethics and Social Media
Language:Jupyter Notebook 5ramtiin / Detecting-Machine-Generated-Text
The findings of this research reveal several intriguing disparities between human and AI text generation. I demonstrated that these differences could be successfully utilized by classifiers to distinguish between human and AI-generated text.
Language:Jupyter Notebook 4rayruchira / Paper-Reviews
Reviews of papers related to robot learning, computer vision, audio , NLP and AI Ethics
gigikenneth / ai-ethics-resources
Resources on tech and AI ethics.
IBMDeveloperMEA / AI-Ethics
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.
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 3dilettagoglia / AI-social-ethical-issues
Social and Ethical Issues in Information Technology - material and project
Noob-can-Compile / Moms-Spaghetti
Stash of some of the most potent research papers, blogs and videos on AI which I liked.
research-papercomputer-visionmachine-learningdeep-learningaiprivacy-preserving-machine-learningai-ethicsfairnessdifferential-geometryprobabilistic-inferenceprobabilistic-methodsinterpretabilityinterpretable-machine-learningcausal-inferencecausalityrobustnessuncertainty-quantificationuncertainty-estimationtrustworthy-aiself-driving-cars- Language:Jupyter Notebook 2
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.
afondiel / Intro-to-AI-Ethics-Free-Course-Kaggle
Explore practical tools to guide the moral design of AI systems.
Language:HTML 1colorsquare / lipstick-on-a-pig
Debiasing methods on contextualised embeddings are ineffective - CS475
Language:Jupyter Notebook 1Liquid-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.
Neo-Cybernetics / AI-ALF
Artificial Intelligence Attitude and Literacy Framework
SciEcon / blockchain-ethics
Replication Code for: AI Ethics on Blockchain: Topic Analysis on Twitter Data for Blockchain Security
Language:Jupyter Notebook 1ethicsai / ethical-smart-grid
Reinforcement learning environment for learning ethical behaviours in a SmartGrid use-case.
Language:Python 0Comparing AI policies and strategies.
Language:HTML 0Guidelines and frameworks for ethical AI integration and management in progressive organizations.
0CurtisThompson / kaggle-courses
My notes and notebooks for Kaggle learning courses.
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.
- KLEP
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.
