Yale Fox on Connecting Data to Make Cities Safer: GLG Applied
Watch the video nowKey Moments
0:01
You need people to actually analyze the
0:03
Yale Fox using AI to make cities
0:05
Rentlogic
0:07
Code structural Issues
0:09
It shoes you crystal clear
0:11
Illegal apartment conversions
0:13
There's way to enlist the private sector to
0:15
There's way to enlist the private sector to
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The talk highlights the growing importance of human involvement in AI and machine learning applications, featuring Rentlogic as an example of AI-driven analysis for property ratings and infrastructural issue prediction to improve housing enforcement and public safety.
Key Points
System Vulnerabilities
Unpatched software, outdated systems, and misconfigured security settings all open the door for sensitive data to slip through the cracks.
Weak or Inconsistent Access Controls
When access control frameworks are brittle or applied haphazardly, it introduces risk of the wrong people gaining access to sensitive information.
Lack of User Verification
Identity and access management tools that guard access to systems and apps by continuously verifying users’ credentials are foundational to network security.


















