Seth Godin 🌔 Explores Pareidolia and Our Tendency to Personify AI

In a recent LinkedIn post, Seth Godin 🌔 discusses the human tendency towards pareidolia – the perception of a familiar pattern or image, such as a face, where none actually exists – and how this phenomenon influences our perception of artificial intelligence.

Godin 🌔 uses the historical example of the “face on Mars” to illustrate his point. He notes that early, low-resolution images from the Viking mission led many to believe a face was present on the planet’s surface. However, higher-resolution images from later missions revealed the geological features responsible for the illusion.

“Human beings need a story, especially when we’re trying to understand something we haven’t already classified. And so we see faces in clouds, in grilled cheese sandwiches and on other planets.”

The Human Drive for Narrative and Understanding

According to Seth Godin 🌔, this drive to create narratives is a fundamental human trait, particularly evident when faced with the unknown or novel. We seek patterns and meaning, sometimes projecting them onto ambiguous stimuli. This inclination, he argues, is amplified by several factors:

• Fear of the unknown
• The novelty and arrival of something new
• Unpredictable inputs that seem to assert some sort of intentional action and agency

Pareidolia in the Age of AI

Seth Godin 🌔 posits that the rapid advancements in Large Language Models (LLMs) and other AI technologies are fertile ground for this type of perceptual bias. Because these tools can generate complex and seemingly coherent outputs, users often fall into the trap of personification.

“It’s no wonder, then, that LLMs and other forms of AI lead to waves of pareidolia. We ascribe a gender, a tone of voice and most of all, intent to these computer programs that are doing nothing but math. We imagine that they are lying to us, manipulating us and getting ready to take over the world.”

As Godin 🌔 points out, this tendency to see human-like qualities, intentions, and even malice in AI can be a distraction. While he acknowledges that imagining a “little person inside” might help some users engage with the technology, he cautions against the dangers of these invented stories, especially when they stem from fear.

The Risk of Misunderstanding and Unlearning

The core of Godin 🌔’s argument is that this personification can obscure the true nature of AI, which is fundamentally based on mathematical processes and data. By attributing human intent or agency, we risk misunderstanding what the technology is and is not capable of. This can lead to misplaced anxieties and an inability to engage with AI in a productive, grounded way.

Seth Godin 🌔 concludes that as our understanding of these technologies deepens and more precise details emerge, we will be forced to confront and “unlearn” the anthropomorphic narratives we’ve constructed. This process of unlearning, he suggests, is a necessary step in truly grasping the capabilities and limitations of AI.