Artificial intelligence in negotiating energy production and other interests in marine spatial planning—managing transparency and bias

Abstract The placement of offshore energy production units and structures (such as pipelines) will invariably come within the scope of any prevailing marine spatial planning (MSP) regime. There is increasing reliance on AI to ensure precision in placement. The data generated in many instances would be adopted by the authorities in implementing any applicable marine spatial plan. However, where there are many competing socio-economic and legal interests in the marine space, the use of AI by offshore energy corporates might well produce bias, whether intentional or not. This work maps out the risks of bias in this offshore energy and MSP context. It asks whether a liability system scheme like the EU AI Law could work. It concludes with thoughts on how, from a legal and regulatory perspective, spatial data sharing and AI used in an MSP context for offshore energy could be improved.

Publication Details

Journal
The Journal of World Energy Law & Business
Published
2025-11-22
DOI
https://doi.org/10.1093/jwelb/jwaf029
Primary Topic
Coastal and Marine Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial intelligence in negotiating energy production and other interests in marine spatial planning—managing transparency and bias

The Journal of World Energy Law & Business
Coastal and Marine Management
article

Artificial intelligence in negotiating energy production and other interests in marine spatial planning—managing transparency and bias

article en

Abstract

Abstract The placement of offshore energy production units and structures (such as pipelines) will invariably come within the scope of any prevailing marine spatial planning (MSP) regime. There is increasing reliance on AI to ensure precision in placement. The data generated in many instances would be adopted by the authorities in implementing any applicable marine spatial plan. However, where there are many competing socio-economic and legal interests in the marine space, the use of AI by offshore energy corporates might well produce bias, whether intentional or not. This work maps out the risks of bias in this offshore energy and MSP context. It asks whether a liability system scheme like the EU AI Law could work. It concludes with thoughts on how, from a legal and regulatory perspective, spatial data sharing and AI used in an MSP context for offshore energy could be improved.

The Journal of World Energy Law & BusinessVol. 19(1)
Affordable and clean energy
Openalex Percentile: Top 15%
Coastal and Marine Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.