 |
| Andrea Chronopoulos |
By Shoshanna Saxe, Opinion, The New York Times, 16 July 2019
Dr. Saxe is an assistant professor of civil and mineral engineering at the University of Toronto.
Sensor-equipped garbage cans sound cool, but someone still has to take out the trash.
TORONTO — Like a classroom full of overachieving students, cities around the world are racing to declare themselves “smart” — using sensors, data and ubiquitous cameras to make themselves more efficient, safe and sustainable. Perhaps the most famous initiative is here in Toronto, where Sidewalk Labs, a sibling company to Google, recently released a 1,500-page master plan to remake two neighborhoods with things like snow-melting roads and an underground pneumatic-tube network.
Smart cities make two fundamental promises: lots of data, and automated decision making based on that data. The ultimate smart city will require a raft of existing and to-be-invented technologies, from sensors to robots to artificial intelligence. For many this promises a more efficient, equitable city; for others, it raises questions about privacy and algorithmic bias.
Read more »
No comments:
Post a Comment