Can AI help identify "black swan" hypotheses that are counter-intuitive?

Yes, AI can help identify counterintuitive black swan hypotheses through analyzing large datasets for anomalies, outliers, and unexpected correlations. Using unsupervised learning and anomaly detection models, AI can flag data points and patterns that don't fit conventional logic. These insights can reveal counterintuitive trends and disruptive ideas that traditional hypothesis testing might overlook.