Surveillance and Privacy
Following the debate and consequence of technology's bargain with consumers: convenience and safety in exchange for unprecedented access to our personal lives.
Everything you need to get started making models and visualizations using COVID-19 data
MIT has ended its partnership with Chinese AI firm iFlyTek
An MIT machine learning model predicts a plateau in the US, and an "exponential explosion" if lockdown ends early
A look at Voxel51, a company using AI to monitor social distancing in real time.
Apple and Google are building a system to warn smartphone owners if they’ve interacted with anyone who has COVID-19
How South Korea has used aggressive contact tracing surveillance to fight COVID-19
AI-enabled technologies produce and rely on vast troves of personal data, most of which is unregulated and vulnerable to theft and misuse.
These technologies include:
- Facial recognition: It helps users unlock their smartphones. It also helps police in China track criminal suspects and monitor members of the Uyghur ethnic minority.
- Personalization: It helps consumers make necessary purchases and discover entertainment, but also encourages developers to collect personal data from increasingly far-flung sources.
- Voice assistants: They help users answer questions, create calendar events, and set alarms. They also record audio accidentally, and until recently relied on human reviewers to listen to private audio to improve their responses.
- Smart home products: Similar to voice assistants, these products allow users to remotely operate appliances, set temperatures and access security footage. They also collect a vast amount of private information about the home life of their users.