Data Hazards is a project to find a shared vocabulary for talking about worst-case scenarios of data science - and to use that vocabulary to help people understand and avoid Data Hazards.
This issue is here for you to comment on to record your feedback about the Data Hazards project - we would love to incorporate your suggestions and ideas. Bringing together lots of different ideas is key to the project's success.
Some things you could tell us here include:
Ideas for new Hazard labels
Things you think could be changed about the existing labels
New safety precautions or mitigations that could be added to the documentation
General thoughts about the project
Feel free to talk to any of the volunteers at our exhibition stand if you have questions, and thanks for your interest in the project!
Welcome AI UK attendees! ⭐
This issue is here for you to comment on to record your feedback about the Data Hazards project - we would love to incorporate your suggestions and ideas. Bringing together lots of different ideas is key to the project's success.
Some things you could tell us here include:
Feel free to talk to any of the volunteers at our exhibition stand if you have questions, and thanks for your interest in the project!