outreach_ppi
Outreach and PPI resources for explaining AI to the public
Science Score: 57.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 6 DOI reference(s) in README -
○Academic publication links
-
○Committers with academic emails
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (8.5%) to scientific vocabulary
Keywords
Repository
Outreach and PPI resources for explaining AI to the public
Basic Info
Statistics
- Stars: 2
- Watchers: 2
- Forks: 1
- Open Issues: 0
- Releases: 9
Topics
Metadata Files
README.md
Patient and public involvement to build trust in artificial intelligence: a framework, tools and case studies
Introduction
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
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/sketchrnndemo/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/readinglistjournal_club
- Working with domain experts
https://github.com/neelsoumya/workingwithdomain_experts
Code
https://github.com/googlecreativelab/teachable-machine-v1
Requirements
A laptop/desktop/smartphone with an internet connection.
Manuscript and citation
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
Support and contact
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
Owner
- Name: Soumya Banerjee
- Login: neelsoumya
- Kind: user
- Location: Cambridge, UK
- Company: University of Cambridge
- Website: https://sites.google.com/site/neelsoumya/
- Repositories: 249
- Profile: https://github.com/neelsoumya
My research interests are in complex systems data science, machine learning, computational biology, computational immunology and computational immunogenomics.
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below: 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" authors: - family-names: "Banerjee" given-names: "Soumya" orcid: "https://orcid.org/0000-0001-7748-9885" - family-names: "Alsop" given-names: "Phil" - family-names: "Jones" given-names: "Linda" - family-names: "Cardinal" given-names: "Rudolf" title: "Patient and public involvement to build trust in artificial intelligence: a framework, tools and case studies" version: 1.0.0 doi: 10.1016/j.patter.2022.100506 date-released: 2022-06-06 url: "https://github.com/neelsoumya/outreach_ppi"
GitHub Events
Total
Last Year
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Soumya Banerjee | n****a@g****m | 56 |
Issues and Pull Requests
Last synced: 7 months ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- bookdown * imports
- ggplot2 * imports
- knitr * imports
- rmarkdown * imports
- shiny * imports
- sqldf * imports
- tinytex * imports