The Price of Prediction: Algorithmic Food Security and the Illusion of Control
- DOI
- 10.2991/978-94-6239-711-8_37How to use a DOI?
- Keywords
- Food security; algorithmic governance; price signals; political accountability; systemic risk
- Abstract
Food security governance in import-dependent economies has shifted toward algorithmic anticipation, with forecasts guiding procurement and reserve decisions in staple food markets. This paper argues that this shift reflects a reordering of coordination signals rather than a purely technical gain in prediction. I develop a parsimonious model of an accountability-constrained political planner contrasting price-signal governance with forecast-signal governance. Forecast-based policy can reduce visible price volatility under routine conditions but weakens price-mediated feedback and shifts risk toward the tails of the distribution. When forecast errors are correlated, centralized anticipation synchronizes policy responses, increasing systemic fragility and the likelihood of rare but severe disruptions despite headline stability. The analysis highlights a fundamental trade-off between visible stability and resilience and underscores the value of hybrid governance arrangements in which algorithmic forecasts complement, rather than replace, price-based coordination.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Amine M. Benmehaia PY - 2026 DA - 2026/06/24 TI - The Price of Prediction: Algorithmic Food Security and the Illusion of Control BT - Proceedings of the International Conference on Artificial Intelligence Applications in Business Administration in MENA Region (ICAIABA 2026) PB - Atlantis Press SP - 396 EP - 406 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6239-711-8_37 DO - 10.2991/978-94-6239-711-8_37 ID - Benmehaia2026 ER -