Policy Impact Analysis - 117/S/4643

Bill Overview

Title: Biometric Collection Improvement Act

Description: This bill requires the Department of Justice to (1) study and recommend ways to improve the collection of biometric information by state law enforcement agencies, and (2) award grants to help law enforcement agencies implement the recommendations.

Sponsors: Sen. Tillis, Thomas [R-NC]

Target Audience

Population: People whose biometric data is collected by law enforcement agencies globally

Estimated Size: 25000000

Reasoning

Simulated Interviews

Police Officer (New York, NY)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 12/20

Statement of Opinion:

  • The policy seems like a mixed bag. Improved biometric systems can make our jobs easier and safer if implemented well.
  • There is always concern about misuse of biometric data, so strong oversight will be crucial.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 7 6
Year 3 7 6
Year 5 8 6
Year 10 8 6
Year 20 7 6

Data Analyst (Los Angeles, CA)

Age: 30 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 7.0 years

Commonness: 8/20

Statement of Opinion:

  • There's tremendous potential for advancing technologies in public safety through this policy, but we must be realistic about costs and ethics.
  • Biometric data can significantly prevent and solve crimes, yet we should never ignore privacy risks.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 8 7
Year 3 8 7
Year 5 8 8
Year 10 9 8
Year 20 9 8

College Student (Chicago, IL)

Age: 22 | Gender: other

Wellbeing Before Policy: 5

Duration of Impact: 3.0 years

Commonness: 15/20

Statement of Opinion:

  • This policy is concerning from a privacy standpoint. The power dynamics between the police and public with biometric data are unequal.
  • Appropriate checks and balances must be prioritized to safeguard citizen's rights.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 4 5
Year 2 5 5
Year 3 5 6
Year 5 6 6
Year 10 6 7
Year 20 6 7

State Government Official (Houston, TX)

Age: 55 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • I am keen to see how the policy will align with state regulations and improve efficiency.
  • There has to be clarity on how grants will be distributed equitably to address diverse state needs.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 8
Year 2 8 8
Year 3 9 8
Year 5 9 8
Year 10 9 8
Year 20 8 8

Small Business Owner (Miami, FL)

Age: 40 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • Increased surveillance from improved biometrics doesn't sit right with me based on privacy expectations in America.
  • Policy should have stringent regulations to prevent abuse of power.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 5 6
Year 2 5 6
Year 3 6 6
Year 5 6 6
Year 10 6 6
Year 20 6 6

Immigration Attorney (Phoenix, AZ)

Age: 38 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 10.0 years

Commonness: 10/20

Statement of Opinion:

  • Biometric data collection can be a double-edged sword for immigrants and minorities.
  • While it may streamline some processes, it may also exacerbate biases if not handled cautiously.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 5 4
Year 2 5 4
Year 3 5 5
Year 5 6 5
Year 10 7 5
Year 20 7 6

Retired (Detroit, MI)

Age: 62 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 14/20

Statement of Opinion:

  • I don't think the policy will directly impact me much unless there's a noticeable change in public interactions or security.
  • So long as personal privacy is preserved and improvements are beneficial, it seems a practical step.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 7 7
Year 3 7 7
Year 5 7 7
Year 10 7 7
Year 20 7 7

Software Developer (San Francisco, CA)

Age: 28 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • There are significant ethical considerations regarding biometric information, particularly with its potential misuse.
  • Public education and clear legal frameworks are necessary to ensure public trust and safety.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 7 6
Year 3 7 6
Year 5 7 6
Year 10 7 6
Year 20 7 6

Security Consultant (Seattle, WA)

Age: 27 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 7.0 years

Commonness: 7/20

Statement of Opinion:

  • I am generally supportive of this plan's objectives as it advances the security field.
  • However, public perception and ethical application are areas we must tread carefully with if we want sustained support.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 7 6
Year 3 8 6
Year 5 8 6
Year 10 8 6
Year 20 8 6

Freelance Reporter (Atlanta, GA)

Age: 29 | Gender: other

Wellbeing Before Policy: 5

Duration of Impact: 4.0 years

Commonness: 11/20

Statement of Opinion:

  • This policy walks a fine line between innovation and intrusion.
  • My work sees firsthand how public opinion can be sharply divided on such issues, which influences societal trust.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 5 5
Year 2 6 5
Year 3 6 5
Year 5 6 5
Year 10 6 5
Year 20 6 5

Cost Estimates

Year 1: $75000000 (Low: $60000000, High: $90000000)

Year 2: $80000000 (Low: $64000000, High: $96000000)

Year 3: $70000000 (Low: $56000000, High: $84000000)

Year 5: $60000000 (Low: $48000000, High: $72000000)

Year 10: $0 (Low: $0, High: $0)

Year 100: $0 (Low: $0, High: $0)

Key Considerations