Using AI to stop dissent before it even starts
Using AI to stop dissent before it even starts
https://www.dw.com/en/middle-east-using-ai-to-stop-dissent-before-it-even-starts/a-76095344
Publish Date: 2026-02-24 00:48:00
Source Domain: www.dw.com
- The plight of Tunisian fruit seller Mohamed Bouazizi led to monumental demonstrations, the collapse of the authoritarian regime, and inspired widespread protests across the Middle East known as the Arab Spring.
- AI-powered tools could have potentially predicted and suppressed dissent, but the Tunisian government in 2010 lacked access to such technology.
- Advances in artificial intelligence and machine learning are enhancing conflict forecasting, raising concerns about the misuse of such tools by authoritarian regimes to predict and suppress political dissent.
- Examples of conflict-forecasting tools include efforts by organizations like ConflictForecast.org, which combine machine learning with human expertise to flag high-risk situations in countries not at war.
- AI models, like those used by ConflictForecast, depend on large amounts of historical data to detect patterns but lack the ability to predict unpredictable human actions.
- The risks of AI abuse are greater as data availability increases; however, current models are not fine-grained enough to make precise forecasts, according to researchers.
- The Middle East’s authoritarian regimes, especially the UAE, are increasingly adopting AI technologies, such as predictive analytics and surveillance systems, to possibly suppress dissent.
- Digital rights activists caution that these advanced AI systems already have a chilling effect on potential dissenters and can be very easily used against political opposition.
