Cities and countries already have begun to deploy AI and ML technologies for public safety and security. On one hand machine learning applications in image and video recognition can help law enforcement officials in detecting criminal activities and efficiently prevent acts that endanger public safety. On the other hand, without thoughtful safeguards, the misuse of these technologies by law enforcement poses sobering human rights risks. Using SenseTime as a case study, this article discusses how China's most valuable AI company, SenseTime, has partnered with government authorities to accelerate product development, why its partnership with the Chinese state is potentially problematic, and how the company can safeguard itself from the misuse of its product.
Security
The government wants you…to hack it?
How the US government is relying on open innovation to combat cyberterrorism
Hurry Up and Wait: Bringing Machine Learning to the US Department of Homeland Security
The US Department of Homeland Security is exploring machine learning. The outcome could be increased security and shorter lines, but what are the risks?
CLOUDFLARE: USING MACHINE LEARNING TO SECURE AGAINST CYBER ATTACKS
Cyber attacks got you down? Read how CloudFlare is building better security on the internet.
ADT’s Digital Transformation – 140 Years in the Making
How a telegraph company survived a digital revolution and became a leader in the smart home industry.