Improving Traffic Safety With a Crowdsourced Traffic Violation Reporting App

KAIST, 4/10/2017

Professor Uichin Lee and a research team at KAIST have developed and tested an app called Mobile Roadwatch. Mobile Roadwatch is a crowdsourced app that helps drivers record traffic violations with their phones and report them to the police. Professor Lee and his team aim to provide a safer way to capture and report traffic violations while operating a vehicle, in hopes that the reports will improve public safety.

AncestryAI Algorithm Traces Your Family Tree Back More Than 300 Years

Aalto University, 3/16/2017

An Aalto University graduate student is developing a new family-tree algorithm called AncestryAI that uses Finnish parish registers to generate a probable family tree. Register data comes from HisKi, an open genealogical database supported by volunteer data entry. AncestryAI users can leave feedback on the accuracy of their tree, which is used to further train the algorithm.

Google Open-Sources Show and Tell, a Model for Producing Image Captions

Venture Beat, 9/22/2016

With the help of crowdsourced data, Google AI’s image recognition algorithms are achieving greater accuracy. Objects in photographs are now more accurately described, and are interrelated with other objects in auto-generated captions. With the increase in photo-captioning accuracy, more questions arise about privacy online and on social media.

How an Algorithm Learned to Identify Depressed Individuals by Studying Their Instagram Photos

MIT Technology Review, 8/19/2016

Researchers have developed a machine-learning algorithm that achieves 70% recall in identifying depressed individuals by characteristics of their (pre-diagnosis) Instagram photo posts. This is a great example of a medical development with great potential for benefit (early diagnosis and treatment) that also raises serious concerns (privacy, misuse of the information, misprediction). It’s also an example of Mechanical Turk being used as a research platform.