Artificial intelligence will only be as intelligent as the experiences it is exposed to. No experiences, no intelligence. Probability alone simply isn’t enough.
1. The Role of Experience in Shaping Intelligence
Whenever we engage in an experience—whether it’s a conversation with someone, a thrilling ride in a sports car, an unexpected accident, or the triumph of our favorite soccer team—we learn. These experiences are filtered by our individual preconditioning and stored in our personal memory. When we recall a memory, it’s the ‘filtered’ version that is brought into our consciousness. This process isn’t just about remembering; it’s about how what we’ve learned from those experiences influences future decisions.
For instance, if someone learns that elevators can sometimes get stuck for a long time, they may develop a tendency to avoid transportation options prone to delays, particularly when on a tight schedule. This new understanding may then influence their future decisions—like choosing a cab in heavy traffic instead of waiting for an elevator or opting for a later flight to avoid potential delays.
2. Intelligence as a Function of Filtered Experiences
The experience doesn’t just contribute to learning—it fundamentally shapes our intelligence. We process what we experience, store it, and allow it to influence how we respond to future situations. Every experience provides new filters through which we view the world, making our decisions, actions, and reactions more nuanced over time.
In this sense, intelligence becomes a function of memory—how experiences are stored, recalled, and applied to decision-making. The filtering process determines how well we adapt to new situations, what we learn from each new event, and how we evolve our understanding of the world.
3. AI’s Relationship with Experience
When we talk about artificial intelligence, the idea of ‘experience’ holds significant value. AI systems, like humans, need a vast array of data (their experiences) to learn, adapt, and make decisions. These data-driven systems filter and store information, which influences their performance. However, unlike humans, AI processes data at an incredibly fast rate and scales it far beyond individual experience.
For AI, experience means being exposed to large datasets, analyzing these inputs, and refining the model based on patterns and insights derived from the data. Similar to human filtering, the more data AI systems encounter, the more ‘intelligent’ they become. But, as with human intelligence, the accuracy and quality of AI’s ‘experiences’—or data—affect its decision-making. If the data is flawed or biased, so too will be the AI’s conclusions.
4. Memory and Decision-Making: A Shared Parallel
Both human intelligence and AI require memory for decision-making. In humans, our memories are influenced by past experiences, biases, and emotions, which shape our future choices. For AI, memory is a function of stored data, algorithms, and the constant updating of models based on new inputs. In both cases, these systems evolve over time, becoming more refined in their ability to make decisions based on prior experiences.
This parallel between human intelligence and AI shows how both systems depend on filtered experiences to grow and adapt. In AI, learning is an ongoing process—just as it is for us. But instead of evolving through personal experience, AI relies on vast quantities of data to inform its decisions.
5. Conclusion: Experience and the Future of Intelligence
In conclusion, intelligence—whether human or artificial—relies heavily on experience. As we continue to develop AI technologies, understanding the role of experience in shaping decision-making and intelligence will be crucial. The more relevant and varied the experiences AI encounters, the more refined its decision-making abilities will become.
By focusing on data-centric AI approaches and creating controlled application spaces for its integration, we can ensure that the intelligence we cultivate through AI mirrors the intentional filtering and learning that we, as humans, rely on every day.
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