Which AI Legacy Do We Leave Generation Alpha ?

We stand at a unique point in history. Those of us who came of age before the widespread proliferation of generative artificial intelligence are likely the last generation to have navigated our foundational years in a world without AI as an omnipresent tool. We learned to write essays by hand or on basic word processors, solved mathematical problems without instant computational assistance, delved into history and science through textbooks and lectures, acquired new languages through structured learning, and for some, grappled with the intricacies of code line by line. This experience, rooted in a different mode of cognitive engagement, bestows upon us a significant responsibility toward the generation now following us: Generation Alpha.

Generation Alpha: Growing Up With AI

Generation Alpha, broadly defined as those born between 2010 and 2024, is growing up with generative AI as a readily available, often seamlessly integrated, part of their environment.

[On a side note – This is true only for the privileged portion of the world’s eight billion people with internet access, less than one in two humans worldwide.]

For this significant cohort, the learning and development landscape fundamentally differs from the one many of us knew. This acute exposure to AI from formative years raises compelling questions about cognitive abilities’ development and agency’s very nature.

Consider the seemingly simple act of writing. For many of us, crafting an essay involved brainstorming, outlining, drafting, and revising – a process that strengthened critical thinking, structured reasoning, and nuanced expression. Similarly, tackling complex math problems required persistent effort and the development of problem-solving strategies. How do these foundational cognitive processes evolve when tools like ChatGPT can generate text, solve equations, and provide instant summaries?

The Impact of AI On Our Cognitive Abilities

A growing body of research explores how reliance on external tools for tasks that previously required internal cognitive effort might influence skill development. For instance, studies on the effects of calculator use in mathematics education have long debated its impact on developing fundamental arithmetic skills. Extending this to the capabilities of generative AI, we must consider the potential for what some term cognitive offloading, where the brain relies on artificial assistance AI to perform tasks it might otherwise have undertaken on its own, potentially leading to an atrophy of specific cognitive muscles.

Negative correlations between frequent AI tool usage and critical thinking abilities have also been identified, indicating that reliance on automated tools may hinder independent reasoning. This is mediated by increased cognitive offloading, where users engage less in deep, reflective thinking, favoring quick AI-generated solutions. Younger individuals have shown significant dependence on AI tools and lower critical thinking scores compared to older participants accustomed to traditional thinking. Overall, higher education levels correlated with better reasoning abilities even among those exposed to AI.

These findings highlight the acute need for educational strategies that promote not just digital literacy but critical thinking and candid engagement with AI technologies. As pointed out by Microsoft Research, generative AI could impact the very essence of thinking.

Neuroplasticity, our brain’s remarkable capacity to rewire itself based on experience, is a double-edged sword in the age of AI. It is our greatest asset in adapting and integrating new tools into our lives. Still, consistent reliance on AI for tasks that build cognitive strength could reshape neural pathways in ways we are only beginning to understand. In the medium term, reliance on AI will diminish our need and motivation to engage in cumbersome independent thought processes, potentially leading to cognitive atrophy in the long run. If the brain is a muscle, then consistent use of AI to bypass challenging cognitive tasks is akin to neglecting a workout regimen. The old maxim “ use it or lose it” applies not just to physical strength but to cognitive vigor as well.

The Risk Of Agency Decay

Sadly, our excitement about our expanding artificial treasure chest is not in our favor. Studies found that the more confident we are in AI, the more we risk losing our critical thinking ability and affinity. Which, in turn, makes us even more prone to relying on our artificial brain crutches. It is a vicious cycle. Are we doomed to a future where humans lose the appetite to think creatively, to innovate and persist, an age of homogenous ideas at the tip of a click?

The concern is not that AI is inherently detrimental, but rather the potential for its uncritical and pervasive use to lead to a form of agency decay – a diminished capacity for independent thought, problem-solving, and creative generation when the first and easiest solution is to defer to an AI.

We are currently navigating a slippery slope that leads from experimentation via integration to reliance and full-blown addiction. (Take the test to determine your stand on that scale.)

Our Responsibility: Double Literacy And Prosocial AI

This brings us to our critical responsibility. As the last generation whose cognitive muscles have evolved in a pre-AI environment, we must ensure that Generation Alpha is equipped to thrive in their AI-saturated world. This means more than just teaching them how to use AI tools; it requires equipping them with a double literacy, which has two pillars:

The first component is human literacy – a holistic understanding of themselves and society. This encompasses critical thinking, emotional intelligence, ethical reasoning, creativity, and a nuanced understanding of human history, culture, and interaction. Understanding what makes us distinctly human provides the essential context for navigating an AI-infused world.

The second component is algorithmic literacy – clear comprehension of what AI is, how it works, what its capabilities are, and, crucially, what its limitations are. This includes understanding concepts like bias in data, the probabilistic nature of AI outputs, and the importance of verifying AI-generated information. It is about demystifying AI as a tool to be critically evaluated and strategically used, not as an infallible oracle.

Curricula need to evolve rapidly to incorporate algorithmic literacy alongside traditional subjects, while simultaneously strengthening the foundations of human literacy. We must foster environments where critical thinking and creative problem-solving are paramount, where the learning process is valued as much as the outcome, and where students are encouraged to grapple with complex ideas and develop their understanding, using AI as a tool for exploration rather than a shortcut to answers. But this is not enough.

Our responsibility extends to advocating for and building prosocial AI systems. It is not enough to create for profit. Our legacy must entail AI systems that are intentionally tailored, trained, tested, and targeted to bring out the best in and for people and planet. It means moving beyond simply optimizing for engagement or efficiency and prioritizing human well-being, ethical considerations, and positive societal impact. This requires deliberate design and ongoing evaluation to ensure AI serves humanity, rather than the reverse.

Shaping The Future: The A-Frame

Leaving a positive legacy for Generation Alpha in the age of AI requires a conscious and concerted effort. It demands that we, the last analog generation, act with intention and foresight. We must leverage our unique perspective to guide the development and integration of AI in a way that safeguards human potential and promotes a future where technology empowers, rather than diminishes, human capabilities.

Practically, we can approach this challenge with an A-Frame of mind:

Awareness: Recognizing our unique historical position and the complex implications of AI for the next generation. We must analyse the potential impacts on cognitive development and counteract agency decay while it is still possible.

Appreciation: Valuing the cognitive and critical thinking abilities honed through learning in a pre-AI era and appreciating the irreplaceable aspects of human intelligence and creativity.

Acceptance: Let’s face it – AI is a transformative technology that will reshape the future. As part of the generation that has opened Pandora’s box, we must acknowledge its caveats and guide its development in a way that does not jeopardize the future.

Accountability: We are responsible for the legacy we leave. Advocating for prosocial AI, shaping education systems that nurture the brain, and modeling accountable and critical engagement with AI for Generation Alpha is the least we can do.

The future belongs to Gen Alpha or, more appropriately, the human Gen AI. Our daily decisions and actions will significantly shape the world they inherit and AI’s role in it. As the last generation to know a world without generative AI, the onus is on us to ensure that the age of artificial intelligence elevates, rather than erodes, natural intelligence. We cannot expect tomorrow’s technology to be better than the humans of today, us.