Showcase of the projects featured in the "AI IRL Hackathon - Building Trustworthy AI" project sprints. Each project will have a presentation of 5-10 minutes.
- The Zen of Machine Learning
- PRESC: Performance and Robustness Evaluation for Statistical Classifiers
- Nanny Surveillance State
- The Narrative Future of AI
- Mapping AI Ecosystems in the MENA
- Dutch & Frisian Common Voice Data Hack
Registration to attend to the hackathon project sprints and sessions and more information here: http://mzl.la/taihackathon
Showcase the different projects in order to promote them and encourage participants to further support and contribute to the projects after Mozfest. Present Trustworthy AI Hackathon work.
We're hoping that many efforts and discussions will continue after Mozfest. Share any ideas you already have for how to continue the work from your session.:Continue work on hackathon projects.
How will you deal with varying numbers of participants in your session?:This session will be a showcase of the different projects, with short presentations of each one, but an informal follow-up session will take place at the AI IRL Spatial Chat afterwards, where it will be possible to divide the participants in smaller groups and they will be able to ask questions to the project facilitators.
Researcher. Developer. Data Scientist. Human rights & freedoms activist, including their expression in a digital and technological context.
Program coordinator at the Jordan Open Source Association. Background in Human-Computer Interaction. I sometimes contribute to Wikipedia. I have an inkling for photojournalism.
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Marsha Courneya works as a Senior Research Assistant at Manchester Metropolitan University. Her work centers on using open licensing to grow sustainable economic models of collective authorship.
Dr David Jackson is lecturer and researcher in the School of Digital Arts. His practice explores the application of AI technology in narrative contexts.
Bernease is a data scientist at University of Washington and WhyLabs. At WhyLabs, she builds data monitoring tools using approximate statistics. At UW, human-centered evaluation metrics with synthetic data.
I am an engineer and designer, who serendipitously evolved into a computer scientist. I am now doing my PhD on deeply personal, completely private voice assistants at the TU Delft.
As an ethicist, I build frameworks that empower responsible and trustworthy approaches to ethical uncertainty. I hold a Ph.D. in philosophy.
As a public interest technologist, my work lies at the intersection of social justice and technology-centric solutions.
Roya Pakzad is the founder and director of Taraaz, a research and advocacy organization working at the intersection of technology and human rights.
Anisha is a university lecturer in Adelaide, Australia. She has a PhD in Computer and Information Science. She researches data ethics, privacy, social innovation and technology design for communities.