Michigan State Government AI Pilot Program
Sector: Government • Location: Michigan, United States
Source: GovTech
House Bill 5899 proposes creating a three-member AI governing board within Michigan's Department of Technology, Management and Budget to oversee a pilot program for generative AI use by state employees, agencies, and departments starting January 1, 2027. The program aims to test AI tools in a controlled setting to improve government efficiency while ensuring compliance with data protection and cyb
Project Information FAQ
Project Information
Want to explore the full details? View the full report
Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | planned |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | House Bill 5899 proposes creating a three-member AI governing board within Michigan's Department of Technology, Management and Budget to oversee a pilot program for generative AI use by state employees, agencies, and departments starting January 1, 2027. The program aims to test AI tools in a controlled setting to improve government efficiency while ensuring compliance with data protection and cybersecurity standards. The pilot program would prohibit the use of generative AI on restricted or confidential information and require reporting on time saved, efficiency improvements, and risks encountered. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |