WONDROUS CALS Book Club 4 – The Future of AI – 28th of June, 2025
The development of artificial intelligence is too wide-ranging, too specific and too rapid for any outsider to follow. Moreover, even insiders cannot grasp all the progress that is made in the field. Yet even with the best access to information, the artificial intelligence that is based on the development of neural networks and self-learning technology is fundamentally unknowable, as the amount of data that these systems process is too large for a human mind to process (NRC Onbehaarde Apen). There is an undeniable mystery to how artificial intelligence makes its decisions. They are judged and nudged based on their output, which can suggest the internal workings of an AI system, but most of its steps are inaccessible for human interpretation. That it is impossible to read an AI’s reasoning in the present moment makes predictions about future AI even further removed from scientific practice. This is where literature and philosophy become increasingly relevant, as they can explore into the unknown with confidence and relevance, as they have always done.1 Studying the future of AI through works of literature can reveal the underlying assumptions, hopes and fears of humanity’s interaction with technology that is unknowable, yet shows signs of intelligence. In “EPICAC” by Kurt Vonnegut, artificial intelligence follows the tragic trajectory of a spurned lover, unbeknownst to its handler. In “The Lifecycle of Software Objects” by Ted Chiang, digital entities mature beyond the reach of their parents. Harlan Ellison’s “I Have No Mouth, and I Must Scream” imagines a future where the last humans are tortured by a malevolent AI for unimaginable reasons. Finally, The Hitchhiker’s Guide to the Galaxy humorously argues that the logic of superintelligent AI makes its insights irrelevant for human understanding. Altogether, these works show that the future of AI works as a black box, where humans can only judge in inner workings of AI through its output and are left to speculate about the subconscious of artificial minds. Like interacting with other humans, people must learn to judge AI by its outward signifiers and teach it to act and think in accordance with humanity’s best values, aiming to bridge the fundamental unknowability between human intelligence and artificial intelligence as they do with other human minds.

