Policy Options & Recommendations

Based on the evidence from case studies and data analysis, this section presents three policy options for addressing plastic pollution through AI technology, with a recommendation for implementation.

Statewide AI Implementation and Funding Program RECOMMENDED

Implementation Strategy

Establish a state grant or cost-sharing initiative to support AI deployment in material recovery facilities (MRFs). This state-managed fund would provide grants to cities and waste facilities that implement AI tools such as:

• AMP Robotics
• Recycleye
• Glacier

Key Features:

• Prioritize grants for underserved or smaller municipalities
• Require standardized performance metrics:
  • Contamination rates
  • Recovery improvement
  • Cost savings
  • Carbon emissions impact
• Produce consistent, real-time waste data
• Track progress toward state recycling goals

Why This Is The Best Option

Directly addresses recycling and plastic waste
Equitable access - statewide funding makes it possible for all municipalities
Data foundation for progress tracking and future policy refinement
Proven technology with measurable results from case studies
Scalable approach that can expand as technology improves

Standardize Waste Data and Reporting Requirements

Implementation Strategy

Develop a statewide data framework through an agency like the Department of Ecology to establish standardized variables that all facilities must report:

• Total tons processed
• Contamination rate
• Recyclables recovered
• AI-detected composition
• Other relevant metrics

Key Features:

• Mandate integration with AI systems for automatic data collection
• Create centralized data portal with public dashboard
• Show performance by county or facility
• Enable data-driven policymaking
• Benchmark performance across facilities

Benefits

• Identifies where recycling systems fail
• Enables targeted interventions
• Reduces manual reporting errors
• Encourages continuous improvement
• Provides transparency to public

Note: This policy would complement Option 1 but would not be as effective implemented alone.

Public-Private Partnership Program for AI in Recycling

Implementation Strategy

Establish a formal partnership program through the Department of Ecology (or similar entity) bringing together:

• Recycling technology firms
• Waste haulers
• Municipalities

Incentives for Participation:

• Access to public funding
• Pilot sites for testing
• Data-sharing agreements

Evaluation Metrics:

• Contamination reduction
• Recovery rate improvements
• Energy efficiency gains
• Cost savings

Benefits

• Rapid deployment of proven AI solutions
• Eliminates need for individual city action
• Public access to private sector data
• Reduces local government spending
• Leverages private infrastructure

Note: This policy would also complement Option 1 but requires established funding and standards first.

Implementation Timeline