Predictive Communications: From [AlphaGo] to Narrative [Intelligence]

Predictive Communications: From [AlphaGo] to Narrative [Intelligence]

The whitepaper “Predictive Communications: From [AlphaGo] to Narrative [Intelligence]” was written by Nanne H.C. Bos for the Scriptorium Initiative. It uses AlphaGo, Google’s AI specialized in the board game Go, as a starting point to ask what predictive AI means for communication, reputation and narrative strategy. The text draws the line early on: AI is not ascribed clairvoyant abilities. Instead, it functions as a tool for early warning, scenarios, narrative detection and dealing with disinformation.

The distinction between structured and open environments is key. In games, weather models, protein structures or industrial processes, AI can recognize patterns, simulate futures and learn from feedback. Communication follows different rules. But social reality is reflexive. If a prediction becomes known, this means that it may change the behavior of those involved. In addition, reputational risks arise from interpretation, timing, power relations and cultural memory, not just from specific events.

This shifts the focus of communication work. The text describes a transition from retrospective monitoring to predictive “narrative intelligence”. Predictive AI can make early signals visible, model possible escalations and test assumptions in scenario planning. At the same time, its benefits remain limited when social meaning, legitimacy or irony are crucial. The white paper therefore positions AI as an additional layer of intelligence: it expands the view of possible developments, but does not replace the (human) judgment of what is communicatively appropriate and effective.