(Taylor Lee) GSoC RAI-HCT Data Cards Playbook Labs Proposal
- Mentors
- Mahima Pushkarna, Andrew Zaldivar
- Organization
- Responsible AI and Human Centred Technology
- Technologies
- javascript, machine learning, github, html, css, d3.js, Figma, p5.js, Dev Tools, Docker (if necessary)
- Topics
- education, machine learning, community, UX Design, UX Engineering, Participatory Design, UX Research, Information Design, Toolkit, Interaction Design
Artificial intelligence developments can lead to growth and scientific advancement at a rapid pace making it even more important how these systems are implemented and informed to the general public in the most accessible manner. Data Cards Playbook is about bringing people together to transparently show the importance of transparency, ethics, and dataset literacy. The goal is to translate the playbook activity to be designed with users in a participatory design setting as hoped in the ACM Track 3 proposal. This is where interactive experiences on the website can add even more magic to what can be an even more powerful tool. The goal is to turn one of the most essential, popular static activities as determined by the team and users into something interactive. This would include user research, heuristic evaluations, wireframing and designing UIs, and prototyping the product in code. Ultimately, the hope is to bring comprehensive transparency artifacts that are not only beneficial to the documentation process and stakeholders themselves but to the human-centric and responsible practices when it comes to datasets in ML applications.