Yale Fox on Connecting Data to Make Cities Safer: GLG Applied

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Key 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Unpatched software, outdated systems, and misconfigured security settings all open the door for sensitive data to slip through the cracks.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.

Media & Publicity

“I've been fortunate to have some of my work showcased over the past years in publications like The New York Times, The Wall Street Journal, Bloomberg, TechCrunch, ProPublica and many more. Here are some of the most notable stories over the years.”