This repository has open source outreach and patient and public involvement (PPI) resources for increasing awareness of Artificial Intelligence (AI) in healthcare. These resources can be used for teaching AI to the general public and patients.

• Resources

  • https://teachablemachine.withgoogle.com/

* https://www.aimyths.org/

• Tensorflow and AI in the browser

  • https://github.com/tensorflow/tfjs/blob/master/GALLERY.md

  • https://coconet.glitch.me/

  • http://cabreraalex.com/interactive-classification/

  • https://github.com/poloclub/ganlab/

  • https://www.tensorflow.org/js/demos/

  • https://experiments.withgoogle.com/collection/creatability

• An interactive animation to help understand how neural networks work

  • https://ncase.me/neurons/

• More AI in the browser and outreach materials

  • http://projector.tensorflow.org/

  • https://experiments.withgoogle.com/collection/ai

  • https://teachablemachine.withgoogle.com/

  • https://quickdraw.withgoogle.com/

  • https://magenta.tensorflow.org/assets/sketch_rnn_demo/index.html

  • https://pair-code.github.io/what-if-tool/uci.html

• Materials for AI outreach for general public

  • https://www.coursera.org/learn/ai-for-everyone/lecture/9n83j/more-examples-of-what-machine-learning-can-and-cannot-do​

  • https://teachablemachine.withgoogle.com/

  • https://playground.tensorflow.org

  • http://projector.tensorflow.org/

• Explaining privacy preserving analysis to the public using a comic

  • https://federated.withgoogle.com/

• Better images of AI

  https://betterimagesofai.org/images

• Ethics in mathematics (comics)

https://ethics.maths.cam.ac.uk/course/comics/

• AI for companies

  • https://landing.ai/resources/ai-transformation-playbook/

• Resources for training and teaching data scientists

  https://github.com/neelsoumya/reading_list_journal_club

• Working with domain experts

  https://github.com/neelsoumya/working_with_domain_experts

https://github.com/googlecreativelab/teachable-machine-v1

A laptop/desktop/smartphone with an internet connection.

If you like or use this work, please cite the following manuscript:

Patient and public involvement to build trust in artificial intelligence: a framework, tools and case studies Soumya Banerjee, Phil Alsop, Linda Jones, Rudolf Cardinal, Patterns 3(6), 2022

https://doi.org/10.1016/j.patter.2022.100506

• Soumya Banerjee

• sb2333@cam.ac.uk

If you like like or use this, please cite the following DOI:

https://doi.org/10.1016/j.patter.2022.100506

and the following manuscript

Patient and public involvement to build trust in artificial intelligence: a framework, tools and case studies Soumya Banerjee, Phil Alsop, Linda Jones, Rudolf Cardinal, Patterns 3(6), 2022

https://doi.org/10.1016/j.patter.2022.100506