InfoCamp is a 2-day event held by UC Berkeley, School of Information, featuring an Idea-thon and speaker series. This year’s theme is “Our Data/ Our Selves” to draw attention to the ownership and distribution of data as AI and machine learning technologies can be applied to causes that bring controversies. The real-world challenge tackled in the Idea-thon is to find solutions that make the privacy agreement more accessible and legible for the public. Working with Tal Segal, we created Peek, a rating system for privacy policy agreement with machine learning, as our deliverable for the Idea-thon.
Read more about this project in the blog: here.