In folly ripe. In reason rotten. Putting machine theology to rest

TL;DR

This paper critically examines the theological-like role of digital computation and deep learning, arguing for a new understanding of complexity and the distinction between artificial reactivity and living anticipation.

Contribution

It offers a philosophical critique of machine theology in AI, emphasizing the need to distinguish between reactive artificial systems and living anticipatory processes.

Findings

Deep learning is the latest form of deterministic machine theology.

Artificial systems are reactive, unlike the anticipatory nature of living systems.

A new understanding of complexity is proposed as a practical response.

Abstract

Computation has changed the world more than any previous expressions of knowledge. In its particular algorithmic embodiment, it offers a perspective, within which the digital computer (one of many possible) exercises a role reminiscent of theology. Since it is closed to meaning, algorithmic digital computation can at most mimic the creative aspects of life. AI, in the perspective of time, proved to be less an acronym for artificial intelligence and more of automating tasks associated with intelligence. The entire development led to the hypostatized role of the machine: outputting nothing else but reality, including that of the humanity that made the machine happen. The convergence machine called deep learning is only the latest form through which the deterministic theology of the machine claims more than what extremely effective data processing actually is. A new understanding of complexity, as well as the need to distinguish between the reactive nature of the artificial and the anticipatory nature of the living are suggested as practical responses to the challenges posed by machine theology.