Issue · Technology

Technology

Every technology bill, vote, and legislator stance in New York, automatically classified by Maddy, our AI policy reader.

Total bills
2
2025 Regular Session
Top supporter
Tony Simone
100% support rate
Top opponent
Phil Palmesano
0% support rate
Ranked legislators
10
5 support · 5 oppose
Key legislators

Who's moving technology in New York

Legislators moving technology in New York
Legislator Party Stance Support rate Votes
Tony Simone
Tony Simone House · District 75
D
Strong +
100% 69
Pat Burke
Pat Burke House · District 142
D
Strong +
100% 60
Latrice Walker
Latrice Walker House · District 55
D
Strong +
100% 67
Jenifer Rajkumar
Jenifer Rajkumar House · District 38
D
Strong +
100% 64
Dana Levenberg
Dana Levenberg House · District 95
D
Strong +
100% 68
Phil Palmesano
Phil Palmesano House · District 132
R
Strong −
0% 68
Chris Tague
Chris Tague House · District 102
R
Strong −
0% 69
Ken Blankenbush
Ken Blankenbush House · District 117
R
Strong −
0% 63
Will Barclay
Will Barclay House · District 120
R
Strong −
0% 69
Robert Smullen
Robert Smullen House · District 118
R
Strong −
0% 67
Showing 2 of 2 bills

All technology bills

signed · New York · Senate Dec 19, 2025

S 3259: Relates to prohibiting the procurement of certain technology and products which pose a state or national security risk

Aligns state and local procurement laws with federal law prohibiting the procurement of certain information and communications technology and electronic parts or products which are determined to pose a risk to state and national security.
signed · New York · Senate Dec 19, 2025

S 6953: Relates to the training and use of artificial intelligence frontier models

The RAISE Act establishes safety requirements for developers of powerful artificial intelligence models, known as "frontier models." A frontier model is defined as one trained with over 10^26 computational operations (costing more than $100 million) or a distilled version costing over $5 million. Large developers must implement documented safety protocols to prevent "critical harm," defined as events causing death, serious injury to 100+ people, or $1 billion in damages from AI misuse. The bill also defines key terms like "safety incident" and outlines remedies for violations, focusing on risk mitigation rather than restricting AI development.