By Cole Schotz Attorneys Inga Caldwell and Heather L. Demirjian
Artificial Intelligence (AI) has the potential to transform how we approach environmental remediation. The use of AI is still in its infancy, but as it develops it is expected to offer powerful tools that improve efficiencies and deliver more cost-effective site cleanup strategies.
AI in Environmental Remediation: Current Uses
AI technologies have already shown promising results in a variety of environmental remediation related areas:
- Aerial Imagery and Feature Identification: AI-driven tools are being used to analyze aerial images to automatically identify features like construction sites or environmental hazards. These tools significantly reduce the time required for manual image analysis, helping to more quickly detect potentially contaminated areas and evolving site conditions.
- Predictive Modeling and Optimization: AI’s ability to process large datasets makes it ideal for predictive modeling. AI can analyze historical data to predict the spread of contamination, help optimize remediation techniques, and anticipate potential challenges before they arise.
- Process-Level Improvements: Traditional remediation methods often rely on databases and spreadsheet models, but AI can build on these models to deliver higher-level insights. AI can automate data collection and analysis, optimize workflows, and flag anomalies in the remediation process. These improvements not only save time but also can reduce the risk of human error.
AI in ENVIRONMENTAL REMEDIATION: What’s Coming Next?
Ongoing research and development of AI tools are pushing the boundaries of what’s possible in environmental remediation. Trends include:
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