Policy Impact Analysis - 117/S/5289

Bill Overview

Title: Ethical Use of Facial Recognition Act

Description: This bill prohibits federal agencies from using facial recognition software until the enactment of legislation that implements certain guidance on its use, as recommended by a specialized commission created under this bill.

Sponsors: Sen. Merkley, Jeff [D-OR]

Target Audience

Population: People affected by the ban and potential future regulations on facial recognition technology

Estimated Size: 150000000

Reasoning

Simulated Interviews

Federal agency administrator (Washington D.C.)

Age: 32 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 2.0 years

Commonness: 3/20

Statement of Opinion:

  • I'm worried about the immediate impact on security operations due to the pause in using facial recognition. It might slow down some processes.
  • I understand the privacy concerns and agree some regulation is necessary, but halting all usage seems excessive.

Wellbeing Over Time (With vs Without Policy)

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

Civil rights attorney (New York, NY)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 4/20

Statement of Opinion:

  • This is a big step forward for privacy rights. Facial recognition has been misused for too long.
  • I hope the commission thoroughly evaluates all privacy concerns before allowing any use again.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 6
Year 2 9 6
Year 3 9 6
Year 5 9 6
Year 10 9 6
Year 20 8 5

Tech entrepreneur (San Francisco, CA)

Age: 29 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 2/20

Statement of Opinion:

  • This could open up opportunities for new tech solutions that respect privacy.
  • If the guidelines are clear, we can develop better, ethical technologies to replace facial recognition.

Wellbeing Over Time (With vs Without Policy)

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

Federal contractor (Dallas, TX)

Age: 37 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 3.0 years

Commonness: 5/20

Statement of Opinion:

  • This complicates operations as we relied on facial recognition for efficiency.
  • I'm hopeful new guidelines will improve transparency and security trust.

Wellbeing Over Time (With vs Without Policy)

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

Privacy advocate (Seattle, WA)

Age: 23 | Gender: other

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • Finally, some action is being taken! This is essential for protecting our privacy rights.
  • I look forward to seeing the commission's recommendations reflected in actual laws.

Wellbeing Over Time (With vs Without Policy)

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

Retired police officer (Chicago, IL)

Age: 60 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 2.0 years

Commonness: 8/20

Statement of Opinion:

  • I worry we might be letting safety slip through tighter controls for the sake of privacy.
  • Hopefully, this pause leads to solutions that respect both safety and privacy.

Wellbeing Over Time (With vs Without Policy)

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

Government contractor (Miami, FL)

Age: 55 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 4.0 years

Commonness: 4/20

Statement of Opinion:

  • This will delay some of our projects that depend on facial recognition tech.
  • Nonetheless, security protocol changes were anticipated and planned for.

Wellbeing Over Time (With vs Without Policy)

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

Data Privacy Analyst (Boston, MA)

Age: 41 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • A moratorium is a wise first step—it buys time to address potential abuses and security flaws.
  • Future tech needs to emphasize ethical use and clear boundaries.

Wellbeing Over Time (With vs Without Policy)

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

Government visitor (Atlanta, GA)

Age: 27 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 1.0 years

Commonness: 10/20

Statement of Opinion:

  • I value knowing my privacy is being taken seriously at federal sites.
  • If longer delays occur because of this ban, it could be a nuisance.

Wellbeing Over Time (With vs Without Policy)

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

Filmmaker (Los Angeles, CA)

Age: 36 | Gender: other

Wellbeing Before Policy: 5

Duration of Impact: 6.0 years

Commonness: 3/20

Statement of Opinion:

  • This is an important turning point for the conversation about surveillance.
  • The stories and debates this sparks will be crucial for public awareness.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $1500000 (Low: $1000000, High: $2000000)

Year 2: $1500000 (Low: $1000000, High: $2000000)

Year 3: $0 (Low: $0, High: $0)

Year 5: $0 (Low: $0, High: $0)

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

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

Key Considerations