Learning from the winters of AI

Learning from the winters of AI

Figure 1: AI Ice Age, Dominic Ligot (2024) As we stand on the precipice of an AI renaissance in countries like the Philippines, it is essential to look back and learn from the winters of AI – those prolonged periods of reduced funding and interest in artificial intelligence research.

These winters, while often seen as periods of stagnation, have shaped the trajectory of AI development in ways that are both profound and instructive.

The cycles of hype and disillusionment The history of AI is characterized by cycles of hype followed by disillusionment. The early promise of AI in the 1950s […]

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