Bill Overview
Title: GOOD AI Act of 2022
Description: This bill directs the Office of Management and Budget to (1) incorporate specified considerations and principles, and the input of specified individuals and entities, in developing an update of guidance for federal agency use of artificial intelligence; and (2) establish an Artificial Intelligence Hygiene Working Group.
Sponsors: Rep. Lawrence, Brenda L. [D-MI-14]
Target Audience
Population: People impacted by US federal agency use of Artificial Intelligence
Estimated Size: 500000
- The bill is specifically related to the federal government's use of AI, impacting federal agencies primarily.
- Federal employees who work with AI systems may experience changes due to new guidelines and practices.
- The bill directs OMB and involves establishing a working group, thus impacting government policy advisors and AI ethics consultants.
- Private sector AI providers working with the government may be indirectly impacted by changes in AI deployment and data privacy requirements.
Reasoning
- Given the policy is focused on the federal government's use of AI, the primary direct impact will be on federal employees working with AI systems. These individuals are likely to be policy makers and IT professionals within government agencies.
- The policy's induction could cause a trickle-down effect, indirectly affecting private entities working with federal agencies where AI applications and guidelines are involved, and leading to changes in partnership dynamics.
- Most citizens will not be directly aware of these changes in the short term, but there could be long-term benefits if AI use improves the efficiency and reliability of public services.
- The policy budget suggests a focused approach with limited direct impact, which is reflected in the relatively small 'commonness' score for most individuals.
- The majority of the population will likely see no immediate change in their wellbeing, as adjustments will happen primarily within government frameworks and associated contractors.
- Wellbeing changes for impacted individuals will largely come from job stability and changes in job processes. IT and AI-focused government employees may see improved job satisfaction if the policy leads to better tools and clearer guidelines, whereas contractors could face pressures if compliance requirements increase.
Simulated Interviews
Federal AI Policy Manager (Washington D.C.)
Age: 40 | Gender: female
Wellbeing Before Policy: 7
Duration of Impact: 20.0 years
Commonness: 5/20
Statement of Opinion:
- I believe this policy could bring much-needed clarity and standardization to our AI projects.
- The working group will likely be beneficial in aligning practices across agencies.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 8 | 7 |
| Year 2 | 8 | 7 |
| Year 3 | 7 | 7 |
| Year 5 | 8 | 7 |
| Year 10 | 9 | 7 |
| Year 20 | 9 | 6 |
AI Ethics Consultant (San Francisco, CA)
Age: 32 | Gender: male
Wellbeing Before Policy: 6
Duration of Impact: 10.0 years
Commonness: 3/20
Statement of Opinion:
- I hope my input on ethical considerations will be more influential with this policy.
- There might be more consulting opportunities if ethics are prioritized in AI implementations.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 6 |
| Year 2 | 7 | 6 |
| Year 3 | 7 | 6 |
| Year 5 | 7 | 6 |
| Year 10 | 8 | 6 |
| Year 20 | 8 | 6 |
IT Specialist in Government (Arlington, VA)
Age: 45 | Gender: male
Wellbeing Before Policy: 7
Duration of Impact: 15.0 years
Commonness: 4/20
Statement of Opinion:
- New guidelines might make our work more efficient and aligned across departments.
- I'm curious about how the AI Hygiene Working Group will change our standards.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 8 | 7 |
| Year 2 | 8 | 7 |
| Year 3 | 8 | 7 |
| Year 5 | 8 | 6 |
| Year 10 | 8 | 6 |
| Year 20 | 8 | 6 |
AI Developer for Government Contractor (New York, NY)
Age: 28 | Gender: female
Wellbeing Before Policy: 6
Duration of Impact: 5.0 years
Commonness: 6/20
Statement of Opinion:
- The GOOD AI Act could mean stricter data management requirements for us, which might be challenging.
- If it leads to more government contracts, it could be a big boost for our company.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 6 | 6 |
| Year 2 | 6 | 5 |
| Year 3 | 7 | 5 |
| Year 5 | 7 | 5 |
| Year 10 | 7 | 5 |
| Year 20 | 7 | 5 |
Government Transparency Advocate (Chicago, IL)
Age: 37 | Gender: male
Wellbeing Before Policy: 8
Duration of Impact: 10.0 years
Commonness: 2/20
Statement of Opinion:
- Any policy directing government transparency in AI is a move in the right direction.
- The establishment of a working group focusing on AI hygiene is vital for accountability.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 9 | 8 |
| Year 2 | 8 | 8 |
| Year 3 | 9 | 8 |
| Year 5 | 9 | 7 |
| Year 10 | 9 | 7 |
| Year 20 | 9 | 7 |
University Professor in AI and Policy (Los Angeles, CA)
Age: 50 | Gender: female
Wellbeing Before Policy: 7
Duration of Impact: 10.0 years
Commonness: 3/20
Statement of Opinion:
- The GOOD AI Act is a valuable step toward harmonizing AI efforts across federal bodies.
- There's potential for more collaborative research initiatives which could be exciting.
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 | 6 |
| Year 10 | 8 | 6 |
| Year 20 | 8 | 6 |
Data Analyst for Government Agency (Austin, TX)
Age: 41 | Gender: female
Wellbeing Before Policy: 6
Duration of Impact: 10.0 years
Commonness: 5/20
Statement of Opinion:
- Standardized data practices could make my job easier and more reliable.
- I'm interested in the principles that will guide data use under this new policy.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 6 |
| Year 2 | 7 | 6 |
| Year 3 | 7 | 6 |
| Year 5 | 7 | 6 |
| Year 10 | 8 | 6 |
| Year 20 | 8 | 6 |
Retired Government Employee (Salt Lake City, UT)
Age: 53 | Gender: male
Wellbeing Before Policy: 8
Duration of Impact: 0.0 years
Commonness: 10/20
Statement of Opinion:
- As a retired employee, I am mostly observing these changes from afar.
- I think the policy could ensure better, more ethical use of AI in government.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 8 | 8 |
| Year 2 | 8 | 8 |
| Year 3 | 8 | 8 |
| Year 5 | 8 | 8 |
| Year 10 | 8 | 8 |
| Year 20 | 8 | 8 |
Software Developer for Tech Startup (Atlanta, GA)
Age: 29 | Gender: other
Wellbeing Before Policy: 7
Duration of Impact: 5.0 years
Commonness: 4/20
Statement of Opinion:
- This might create more opportunities for our startup if government contracts increase.
- AI guidelines can elevate the quality of tech-solutions our company offers.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 7 |
| Year 2 | 8 | 7 |
| Year 3 | 7 | 7 |
| Year 5 | 7 | 7 |
| Year 10 | 8 | 7 |
| Year 20 | 8 | 6 |
Public Policy Researcher (Denver, CO)
Age: 38 | Gender: female
Wellbeing Before Policy: 6
Duration of Impact: 10.0 years
Commonness: 3/20
Statement of Opinion:
- I'm curious about the specifics of 'AI Hygiene' promoted by this bill.
- It could drive more research funding opportunities on AI governance.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 6 |
| Year 2 | 7 | 6 |
| Year 3 | 7 | 6 |
| Year 5 | 7 | 6 |
| Year 10 | 8 | 6 |
| Year 20 | 8 | 6 |
Cost Estimates
Year 1: $10000000 (Low: $8000000, High: $13000000)
Year 2: $12000000 (Low: $9000000, High: $15000000)
Year 3: $13000000 (Low: $10000000, High: $17000000)
Year 5: $15000000 (Low: $12000000, High: $18000000)
Year 10: $20000000 (Low: $15000000, High: $25000000)
Year 100: $50000000 (Low: $38000000, High: $60000000)
Key Considerations
- Impact on privacy and data security regarding AI data handling.
- Potential long-term productivity gains in the public sector due to improved AI practices.
- Short-term fiscal burden due to implementation and compliance with new standards.