tools

The tools below represent concrete ways of implementing ethical reflection, deliberation, and judgment into tech industry engineering and design workflows.

A tool to help guide an ethically responsible, culturally considerate, and humanistic approach to designing with data

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

Can a neural network learn to recognize doodles? See how well it does with your drawings and help teach it, just by playing.

From doteveryone | An agile practice for responsible innovators

Open source framework for creative coding for Kotlin / Java 8+ that simplifies writing real-time interactive software.

"This database* is an ongoing project to aggregate tools and resources for artists, engineers, curators & researchers interested in incorporating machine learning (ML) and other forms of artificial intelligence (AI) into their practice."

Autoencoders: https://colab.research.google.com/github/zaidalyafeai/Notebooks/blob/master/AutoEncoders.ipynb Colorization: https://demos.algorithmia.com/colorize-photos https://www.myheritage.co.il/incolor https://colab.research.google.com/github/jantic/DeOldify/blob/master/ImageColorizerColab.i...