Abstract:
The black swan theory, which describes unexpected events with major consequences, takes on
new significance in the age of artificial intelligence. Named after the discovery of black swans in
Australia, which challenged the belief that all swans were white, this theory highlights how
unpredictable occurrences can shake our understanding of reality. It examines how unexpected AI
advancements can create unforeseen gaps in technology access and usage. The study analyzes case
studies, current trends, and potential future scenarios to understand the implications of AI-driven
Black Swan events on social and economic inequality. A recent example is the internet ban in
Imphal, India, which had unforeseen economic impacts. This sudden shutdown caught businesses
and residents off guard, disrupting daily life and commerce. Online transactions came to a halt,
affecting everything from banking to shopping. Local businesses that rely on the internet for their
operations faced significant losses. The ban also hindered communication, making it difficult for
people to stay informed or reach out. This event shows how our increasing dependence on
technology can make us vulnerable to unexpected disruptions. The intersection of the Black Swan
theory and AI highlights the need for proactive measures to address the digital divide.
Policymakers, technologists, and educators must work together to ensure that AI advancements
benefit society as a whole, rather than exacerbating existing inequalities. To address these
challenges, policymakers and technologists must work together to create flexible and inclusive
strategies that can adapt to unexpected developments in AI.
