The dance of certainty, probability, and mystery: Insights from AI and faith
Last week, while watching the film Conclave by Robert Harris, a particular line stayed with me as highly relevant for dealing with AI: “There is one sin which I have come to fear above all others. Certainty! If there were only certainty and no doubt, there would be no mystery. And therefore, no need for faith.”
These worlds from Conclave summarise well the paradoxical nature of AI, a technology that embodies elements of certainty, doubt, and mystery. It sparked many questions, including:
- Does AI deliver the functional certainty as previous technologies did?
- Is there a mystery in AI’s ability to write poetry or hold intimate conversations?
- How do certainty and doubt intertwine in AI’s probabilistic nature?
- How can the triangle between certainty, probability, and mystery help us to govern AI?
Let’s explore these and other questions.
Contents
ToggleCertainty: The known knowns
Certainty feels like a deeply human quest. Across history, science and technology have been our tools for reducing uncertainty. Each breakthrough—fire, the wheel, electricity—gave us more control over nature and outcomes: flip a switch, and light floods the room; press a button and a message zips across the globe.
But certainty, seductive as it is, can become a mirage. It has been tempting humans to extend the logic of technological certainty into realms it cannot reach: the meaning of life, the pursuit of happiness, and the inevitability of death. Organised religions, political ideologies like communism, and utopian visions have often promised certainty about these questions, with varying degrees of failure.
Certainty in Philosophy
The importance of certainty in various philosophical traditions
Certainty is a theme that resonates deeply across various philosophical traditions, shaping the contours of epistemology, metaphysics, and even ethics. Let’s take a closer look at how this quest for certainty has been conceptualised and its profound implications for knowledge and belief.
The ancient philosophical quest for certainty
In ancient philosophy, certainty was often intertwined with the pursuit of truth and knowledge. Take Plato, for instance, who saw mathematical certainty as a paragon for philosophical inquiry. In “The Republic,” he posited that geometry “draws the soul towards truth,” likening the immutable truths of mathematics to the philosophical ideal of certainty. This reflects a Platonic vision where certainty in knowledge mirrors the unwavering truths found in mathematics, transcending the ephemeral nature of opinion or perception.
Aristotle, diverging slightly, emphasised the role of scientific explanation in achieving certainty. His empirical approach, rooted in systematic observation and categorisation of the natural world, laid the groundwork for scientific methods that establish certainty through empirical evidence and logical reasoning.
Medieval and Islamic philosophical perspectives
Fast forward to the medieval period, where thinkers like Thomas Aquinas sought to harmonise Aristotelian logic with theological principles. Aquinas argued that certainty could be attained through a synthesis of reason and divine revelation, positing that certain truths, especially those concerning the divine, could be known with certainty through faith and reason.
In the rich tapestry of Islamic philosophy, Al-Ghazālī offered a distinctive perspective, suggesting that certainty arises from religious practice and spiritual experience. He proposed that true certainty is achieved through rational deduction and direct, experiential knowledge of the divine. This introduces a dimension of certainty that is deeply personal and subjective yet considered by some as more profound than empirical or logical certainty.
The modern era and the pursuit of certainty
The modern era ushered in a renewed focus on certainty, particularly in the works of René Descartes. Descartes embarked on a quest to establish a foundation for knowledge impervious to doubt. His method of radical doubt culminated in the cogito, “I think, therefore I am,” which he regarded as an indubitable truth. Descartes envisioned building a knowledge system as certain as mathematics upon such foundations.
Yet, this pursuit of certainty was not without its critics. Empiricists like David Hume challenged the notion of achieving certainty in empirical observations, arguing that our knowledge of the world is based on habit and custom rather than certainty, as sensory experiences are fallible and open to interpretation.
Pragmatism and the scepticism of certainty
The late 19th and early 20th centuries saw pragmatists like Charles Peirce and William James questioning the very pursuit of certainty. They argued that the fixation on certainty was misguided, as knowledge is inherently fallible and provisional. For pragmatists, the value of an idea lies in its practical consequences and ability to guide action, rather than its absolute certainty.
This pragmatic scepticism towards certainty reflects a broader philosophical shift towards fallibilism, the view that all knowledge is potentially subject to revision. Fallibilists contend that while certainty may be an ideal, it is not necessary for knowledge. Instead, knowledge can be reliable and useful even if it is not absolutely certain.
Contemporary views on certainty
In contemporary philosophy, the concept of certainty continues to be a topic of vibrant debate. Some philosophers uphold certainty as an epistemic ideal worth striving for, while others argue it is an unattainable goal. The distinction between epistemic certainty (the highest possible epistemic status of a belief) and psychological certainty (the subjective feeling of certainty) is often explored to understand the nuances of certainty in human cognition.
Moreover, the application of certainty in practical contexts, such as science and ethics, is also examined. In science, certainty is often associated with the reliability and reproducibility of results, while in ethics, it may relate to moral certainty, where decisions are made with confidence despite the absence of absolute proof.
Conclusion
The importance of certainty across various philosophical traditions underscores its central role in the quest for knowledge and truth. From the mathematical certainty of Plato to the religious certainty of Al-Ghazālī, and the radical doubt of Descartes to the pragmatic scepticism of Peirce and James, certainty has been a driving force in philosophical inquiry. While the pursuit of certainty has led to significant advancements in understanding, it has also revealed the limitations and challenges inherent in human cognition. As philosophy continues to evolve, the concept of certainty remains a vital area of exploration, reflecting the ongoing tension between the desire for absolute knowledge and the acceptance of human fallibility.
References
Albertini, T. (2005). Crisis and Certainty of Faith. Retrieved from https://plato.stanford.edu/archives/spr2022/entries/certainty/
Descartes, R. (1641). Meditations on First Philosophy. Retrieved from https://plato.stanford.edu/archives/spr2022/entries/certainty/
Hetherington, S. (2001). Good Knowledge, Bad Knowledge. Retrieved from https://plato.stanford.edu/archives/spr2022/entries/certainty/
Lewis, C. I. (1952). An Analysis of Knowledge and Valuation. Retrieved from https://plato.stanford.edu/archives/spr2022/entries/certainty/
Markie, P. (1986). The Cogito and Its Importance. Retrieved from https://plato.stanford.edu/archives/spr2022/entries/certainty/
Pasnau, R. (2017). After Certainty: A History of Our Epistemic Ideals and Illusions. Retrieved from https://plato.stanford.edu/archives/spr2022/entries/certainty/
Peirce, C. S., & James, W. (n.d.). Pragmatism and the Meaning of Truth. Retrieved from https://plato.stanford.edu/archives/spr2022/entries/certainty/
Plato. (n.d.). Republic. Retrieved from https://plato.stanford.edu/archives/spr2022/entries/certainty/
Van Cleve, J. (1979). Foundationalism, Epistemic Principles, and the Cartesian Circle. Retrieved from https://plato.stanford.edu/archives/spr2022/entries/certainty/
AI challenges this historical narrative. Unlike traditional technologies that thrive on certainty, AI is rooted in probability, an embrace of the uncertain.
Probability: The known unknowns
AI is a very powerful guessing machine deriving probable answers from oceans of data. This makes it fundamentally different from all deterministic technologies, from mechanics to traditional computing.
The importance of doubt, as narrated in a scene from Conclave, relates to the centrality of probability in AI. For example, ChatGPT doesn’t offer guarantees, only probabilities of truth. It mirrors our imperfections—our doubts, our leaps of logic.
Ironically, AI’s human-like nature makes us uneasy with this technology. It feels less like a tool and more like a reflection, capable of mistakes and prone to surprises. This blurring of lines feeds fears of AI as not just a servant but a master.
Yet probability also holds promise. AI can explore beyond rigid boundaries, generate creative solutions, and help us navigate complexity. In doubt, there is a possibility.
Probability in Philosophy
Probability in various philosophical traditions
Probability, as a concept, has been a fascinating subject of philosophical enquiry across different cultures and historical periods. Its evolution reflects the diverse ways in which human thought has grappled with uncertainty, chance, and the nature of belief. This text explores how probability has been addressed in various philosophical traditions, focusing on its historical development, key thinkers, and interpretations across different cultures and schools of thought.
Historical development of probability
The modern mathematical theory of probability is often traced back to the mid-17th century, with the pioneering work of Blaise Pascal, Pierre de Fermat, and Christiaan Huygens, who calculated chances in games of fortune. This foundational work was further refined in the 18th century by figures such as the Bernoullis, Abraham de Moivre, Pierre-Simon Laplace, and Thomas Bayes (Daston, 1988; Hacking, 2006; Hald, 2003).
However, the conceptualisation of probability predates these developments and can be traced back to medieval and Renaissance philosophy. During these periods, probability-related terminology played a significant role in assessing philosophical claims, qualifying uncertain conclusions, and regulating legal and moral actions. Terms such as ‘probable’ (probabilis), ‘credible’ (credibilis), and ‘truth-like’ (verisimilis) were used extensively (Stanford Encyclopedia of Philosophy, 2023).
Probability in medieval and Renaissance philosophy
In medieval scholasticism, probability was closely linked to theology and jurisprudence. Scholastic thinkers used probability to navigate moral and legal uncertainties, often grounding their discussions in ancient sources like Aristotle, Cicero, and Boethius. However, medieval philosophers did not analyse probability with the same depth as they did knowledge or science (Schuessler, 2023).
Renaissance humanists, on the other hand, approached probability differently. While they used similar terms, their focus was less on theological and legal applications and more on the worthiness of belief, or credibilitas. This distinction highlights the varied uses of probability-related concepts across different intellectual traditions within Europe (Stanford Encyclopedia of Philosophy, 2023).
Non-Western perspectives on probability
The conceptualisation of probability was not confined to Europe. Many cultures worldwide engaged with probability in antiquity and the medieval era. For instance, mediaeval Islamic philosophy, theology, and law incorporated probability in ways comparable to their Christian counterparts. This cross-cultural engagement suggests that the philosophical exploration of probability was a global phenomenon, influenced by diverse intellectual traditions (Black, 1990; Daiber, 1990; Miller, 1984).
Modern interpretations of probability
In contemporary philosophy, probability is understood through various interpretations, each offering a different perspective on its nature and application. These interpretations can be broadly categorised into three main concepts:
- Epistemological probability: This concept measures objective evidential support relations. It is used to assess the likelihood of events based on available evidence, such as predicting earthquakes based on seismological data (Stanford Encyclopedia of Philosophy, 2023).
- Subjective probability: This interpretation views probability as an agent’s degree of confidence or graded belief. It reflects personal belief about the likelihood of an event, such as the probability of rain based on personal judgement (Stanford Encyclopedia of Philosophy, 2023).
- Physical probability: This concept applies to systems in the world independently of human thought, such as the probability of atomic decay. It is often associated with frequentist and propensity interpretations, where probability is seen as a measure of undetermined features of the world (Stanford Encyclopedia of Philosophy, 2023).
Conclusion
The exploration of probability across different philosophical traditions reveals a rich tapestry of thought that has evolved over centuries. From its roots in medieval and Renaissance philosophy to its modern interpretations, probability has been a crucial tool for understanding uncertainty and belief. The diverse approaches to probability, both within Western and non-Western traditions, underscore its universal significance in human thought.
As we continue to refine our understanding of probability, it remains a central concern in philosophy, influencing fields as varied as epistemology, ethics, and the philosophy of science. The ongoing dialogue between different interpretations and cultural perspectives ensures that probability will remain a dynamic and evolving area of philosophical enquiry.
References
Daston, L. (1988). Classical Probability in the Enlightenment. Princeton University Press.
Hacking, I. (2006). The Emergence of Probability: A Philosophical Study of Early Ideas about Probability, Induction, and Statistical Inference. Cambridge University Press.
Hald, A. (2003). A History of Probability and Statistics and Their Applications before 1750. Wiley.
Schuessler, R. (2023). Probability in Medieval and Renaissance Philosophy. Stanford Encyclopedia of Philosophy. Retrieved from https://plato.stanford.edu/archives/win2023/entries/probability-medieval-renaissance/
Black, D. (1990). Logic and Aristotle’s Rhetoric and Poetics in Medieval Arabic Philosophy. Brill.
Daiber, H. (1990). Islamic Thought in the Middle Ages: Studies in Text, Transmission and Translation, in Honour of Hans Daiber. Brill.
Miller, J. (1984). Arabic Logic: Ibn al-Tayyib on Porphyry’s Eisagoge. Brill.
Mystery: The unknown unknowns
Every technology holds an element of mystery, a magic that captivates us. However, AI elevates this to unprecedented levels. Unlike a car or a computer, which are comprehensible at a mechanical level, AI operates in dimensions that often elude human understanding. Its “mystery” feels deeper, more enigmatic.
Mystery can inspire awe and creativity but also breed fear and manipulation. In the early days of ChatGPT, fear narratives about AI’s existential risks proliferated, often accompanied by calls for monopolistic control under the guise of “protecting humanity.” These stories exploited our fascination with mystery and our fear of uncertainty.
Mystery in Philosophy
Philosophical approaches to mystery across traditions
The way different philosophical traditions approach mystery reveals much about their underlying principles, methodologies, and cultural contexts.
Western philosophical traditions
Western philosophy has traditionally approached mystery through the lens of rational inquiry and systematic analysis. The Western tradition, particularly since the Enlightenment, has emphasised the power of reason to uncover truths about the world. This approach is evident in the works of philosophers like Descartes, who sought to establish certainty through methodological doubt, and Kant, who explored the limits of human understanding (Stanford Encyclopedia of Philosophy).
However, not all Western philosophers have embraced this rationalist approach. Nietzsche, for example, critiqued the tendency to “nail reality down” with rigid ordering principles, arguing that this overlooks the chaotic and ambiguous aspects of existence (Nietzsche). Similarly, Wittgenstein suggested that philosophical problems often arise from misunderstandings of language, and the task of philosophy is to “show the fly the way out of the fly-bottle” (Wittgenstein).
Eastern philosophical traditions
Eastern philosophies, such as those found in Chinese and Indian traditions, often approach mystery, focusing on holistic understanding and experiential insight. For instance, the śūnyatā (emptiness) concept in Buddhism invites practitioners to transcend dualistic thinking and embrace the interconnectedness of all things (Buddhist Philosophy). This approach is less about solving mysteries through rational analysis and more about experiencing the mystery directly through meditation and mindfulness.
Confucianism and Daoism, two major Chinese philosophical traditions, also offer unique perspectives on mystery. Confucianism emphasises the cultivation of virtue and moral understanding, suggesting that mystery can be approached through ethical living and self-cultivation (Confucianism). Daoism, on the other hand, embraces the mystery of the Dao, the fundamental principle underlying the universe, which is beyond human comprehension and can only be approached through intuition and harmony with nature (Daoism).
Comparative philosophy
Comparative philosophy seeks to bridge the gap between different philosophical traditions, exploring how they can inform and enrich one another. This approach often examines how different cultures address similar philosophical problems, such as the nature of reality, the self, and ethical living.
One of the key challenges in comparative philosophy is methodological commensurability—how to compare traditions with different conceptual frameworks and assumptions. For example, comparing Greek and Chinese texts reveals that neither dualism nor holism is exclusive to any one culture, highlighting the dangers of imposing one’s own assumptions on another tradition (Comparative Philosophy).
Comparative philosophers like Bruya and Vermander argue for a multicultural approach that fosters creativity and effectiveness in problem-solving. They suggest that cross-cultural dialogue can transform mutually, allowing traditions to learn from each other and potentially develop hybrid traditions (Bruya & Vermander).
The role of mystery in philosophy
Mystery plays a crucial role in philosophy by challenging assumptions and expanding the boundaries of understanding. In Western philosophy, mystery often catalyses inquiry, prompting philosophers to question established norms and seek deeper truths. In Eastern traditions, mystery is embraced as an integral part of the human experience, inviting individuals to explore the unknown through introspection and spiritual practice.
Comparative philosophy highlights the potential for mystery to serve as a bridge between cultures, encouraging dialogue and collaboration. By engaging with the mysteries of other traditions, philosophers can gain new insights into their own assumptions and expand their understanding of the world.
Conclusion
The exploration of mystery across philosophical traditions reveals a rich tapestry of approaches, each offering unique insights into the human condition. Western philosophy’s emphasis on rational inquiry, Eastern philosophy’s focus on experiential insight, and the integrative potential of comparative philosophy all contribute to a deeper understanding of mystery. As philosophers continue to engage with these diverse traditions, the potential for cross-cultural dialogue and mutual enrichment remains a promising avenue for future inquiry.
References
- Stanford Encyclopedia of Philosophy. (n.d.). Retrieved from https://plato.stanford.edu/
- Nietzsche, F. (n.d.). Retrieved from https://plato.stanford.edu/entries/nietzsche/
- Wittgenstein, L. (n.d.). Retrieved from https://plato.stanford.edu/entries/wittgenstein/
- Buddhist Philosophy. (n.d.). Retrieved from https://plato.stanford.edu/entries/buddhism/
- Confucianism. (n.d.). Retrieved from https://plato.stanford.edu/entries/confucianism/
- Daoism. (n.d.). Retrieved from https://plato.stanford.edu/entries/daoism/
- Comparative Philosophy. (n.d.). Retrieved from https://plato.stanford.edu/entries/comparative-philosophy/
- Bruya, B., & Vermander, B. (n.d.). Retrieved from https://plato.stanford.edu/entries/comparative-philosophy/
Navigating AI conceptual triangle
So, how do we move forward? The triangle of certainty, probability, and mystery offers a roadmap:
- Beware of false certainties. Whenever someone claims to have a definitive solution for AI governance, approach with caution. Certainty in this domain is often false, naive, or manipulative.
- Embrace doubt. Doubt is a way to make continuous trade-offs in guiding AI developments based on our understanding of technology and its constant development.
- Celebrate mystery. Rather than fearing the unknown, let it fuel creativity and exploration. Mystery, after all, has been a source of human advancement, from the arts to the sciences to religion itself.
As we navigate the profound changes AI brings to education, industry, and society, the lessons from Conclave remind us to tread carefully, think critically, and remain open to wonder. By balancing certainty, probability, and mystery, AI holds the potential to be a transformative force for good, inspiring hope and ensuring it is a powerful servant of humanity rather than becoming an uncontrollable master.
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