“Artificial Intelligence” (AI) has been explored in Sci-fi for over 150 years sparking the imagination of technologists, futurists, and the general public with the of machines that think, learn, and even surpass human intelligence. However, as we re-enter an era of “AI” being developed, sold and used across industries we start to realise that “AI” is not genuinely “intelligent” in the human sense but is more accurately described as “Artificial Knowledge” (AK).
This distinction underscores AI’s role as an advanced tool for data recall and pattern recognition, rather than an entity possessing autonomous thought or understanding.

With this in mind during this talk, we will explore the following points:

Defining Intelligence vs. Knowledge: Clarifying the fundamental differences between intelligence—encompassing reasoning, emotional understanding, and self-awareness—and knowledge, which involves the storage and retrieval of information.

The limitations of AI: How modern AI systems operate primarily on vast datasets, algorithms, and computational power to provide useful outputs without genuine comprehension.

Case Studies in AK: Examining practical applications where AI excels in data processing, from medical diagnostics to financial forecasting, demonstrating its role as a sophisticated knowledge tool.

The Limitations of Current AI models implementations: Discussing the boundaries of AI capabilities and the ethical implications of misrepresenting AI as intelligent, including issues of trust, accountability, and societal impact.

But ultimately even if we can rebrand “AI” to “AK” and foster a more accurate understanding of its capabilities compared to that of Sci-Fi maybe the battle is already lost. Perhaps we are just too late and the marketing machine can not be stopped. AI is dead, long live AK!