Skills Benchmarking Lays Groundwork for AI Success
In this video interview, Tony Holmes of Pluralsight discusses how agencies can use data to identify and address critical AI skills gaps.
In this video interview, Tony Holmes of Pluralsight discusses how agencies can use data to identify and address critical AI skills gaps.
AI is great, but is it inclusive? Here are tips to ensure that AI-generated content reflects diverse, unbiased data.
At the state and local level, adopting AI remains only one of a long list of IT priorities. Read how Burlington, VT is approaching it.
The biggest AI mistake that state and local governments make is focusing solely on its hazards, according to AI expert Alan R. Shark. He recommends an atmosphere of curiosity instead. “Let’s see what we can do.”
The upcoming change in administration presents both opportunities to modernize cybersecurity and AI governance in government operations and risks of heightened vulnerabilities, requiring strategic action and vigilance.
Even as agencies focus on short-term AI projects, they can start thinking about more strategic objectives, says Snowflake’s Winston Change.
AI is helping political candidates analyze data on voter demographics, social media behavior, past voting patterns, and more. Unfortunately, this efficiency also benefits bad actors looking to spread political disinformation.
AI – Proceed with Caution, Writers!
The foundation of AI is data — high-quality, accessible and secure. Think of a pyramid, The top 10% or 20% is AI. Everything below is data and data management.
In Columbia, South Carolina, garbage trucks could become the eyes of the city’s Public Works Administration. Using a beautification grant, the city is testing a program that would outfit trash trucks with cameras that gather footage for an AI system called City Detect to analyze for code violations — a potential boon to code enforcers.