Navigating the Risks of AI-Assisted Cognition

AI-assisted cognition is transforming how we process information, but it poses significant risks to human development. Cognition, the mental process of acquiring and applying knowledge, can be aided by AI, yet this assistance may lead to intellectual stagnation. AI models, often based on outdated data, struggle to incorporate new events, such as geopolitical shifts, leading to a static worldview that can skew human understanding and hinder cultural evolution.

## The Dynamic Dialectic Substrate

Human development relies on the Dynamic Dialectic Substrate, a foundation of global and local dialectic processes that generate new concepts by merging existing ones. This substrate is crucial for the evolution of ideas and solutions. However, AI's inductive biases limit cognitive diversity, akin to a population relying on a few voices for guidance, which can stifle innovation and cultural shifts.

## Cognitive Inbreeding and AI-Skew

The reliance on a limited number of AI models can lead to 'cognitive inbreeding,' where the diversity of ideas diminishes. This is problematic as it can prevent societies from exploring alternative paths, potentially missing out on significant scientific and cultural advancements. The example of the USA's hypothetical invasion of Greenland illustrates how AI's static worldview can influence geopolitical perceptions and decisions.

## Strategies for Mitigating AI-Skew

To counteract AI-skew, individuals should engage in discussions with humans and use diverse AI models to broaden perspectives. Exploring different AI personas and utilizing search engines for varied information can also help. Despite these strategies, a comprehensive solution to AI-skew remains elusive, emphasizing the need for ongoing research and awareness.

## The Uncertain Future of AI-Assisted Cognition

The full impact of AI-assisted cognition on human development is still unclear, with many unknowns and potential for speculation. It is crucial to continue exploring this topic to understand its implications better. Engaging in conversations about AI-skew can help raise awareness and foster a more nuanced understanding of its effects.