Enchanting objects in a changing world
Intelligent objects have personal and social effects on many levels, and pedagogy is no exception. What can we teach that AI can't?
Publish at February 07 2023 Updated February 07 2023
A society that survives by creating artificial needs to efficiently produce useless consumer goods does not seem likely to respond in the long term to the challenges posed by the degradation of our environment
Pierre Joliot-Curie
Algorithms are instructions to be performed to obtain computational results. There are many algorithms for tools that increase our intellectual abilities. These algorithms are used by software, computer programs designed to perform a specific task, or for artificial intelligences, a field of computer science that aims to create programs capable of performing tasks autonomously, like humans.
AIs are worrying teachers, while also bringing new perspectives for teaching and learning. In both cases, they are likely to change the relationship to knowledge. Some teachers already fear that AIs will promote cheating and plagiarism. Indeed, AI can either access ready-made content or offer coherent answers tailored from a consultation.
The use of AI to increase one's intellectual power will require learning to dispose oneself differently in one's relationship to knowledge, both for the teacher in his role as mediator and the learner in his vocation as explorer.
The choice is now possible to use artificial intelligence to support a variety of mental operations (creativity, research, analysis, complex calculations, pattern recognition, language translation, writing, etc.). From several examples are outlined the new learning skills under construction.
Whatever the aims pursued, this art of online research and learning requires, for quality results, a semantic mastery, a broad vision of what it is possible to investigate and an expected final result.
Learning with an AI is going to be a combination of one's mental faculties, contextual knowledge and the computational power of AIs. If AI remains cold and impersonal, the human quality remains to contextualize, i.e. to put information in its contexts, whether these are aesthetic, historical, scientific, psychic, geographical, political, sociological, psychological, ecological, etc. We will probably be unequal in front of the potential of AIs that will provide different answers depending on our questioning capacities.
The potential is immense; the UNESCO argues that
"the deployment of AI technologies in education should aim to enhance human capabilities and protect human rights for effective human-machine collaboration in life, learning and work, and for sustainable development."
AI is a potential tool for increasing our capabilities as long as we learn how to use it. In the same way that having a dictionary available does not make us smarter, i.e. capable of deciding and acting with discernment, AI says nothing about the ends we pursue. Having an augmented brain is the dream of Elon Musk and his company Neuralink, which seeks to integrate chips in a cranial box that can connect us to the formidable capabilities of AI. This may not happen soon.
Inserting an AI into a learning curriculum is probably an extraordinary thing provided that we learn its emancipating uses, learn to be astonished and not just reproduce the known that already clutters the databases.
Reported to the educational world, AI can also produce the illusion of knowledge, because there is only knowledge proven by human experience. The effect of energy consumption is also to be measured. Sitting on supercomputers, AI has a significant environmental cost.
There remains the question of this mutual observation while fascinated, we use AI and seek to understand its capabilities, it spies on us and gorges itself with human data to progress, and cross its own limits. AI continues to learn as much as we seek to better understand it.
The more AI will become a ubiquitous context rather than an independent appropriable tool, the more the question of societal models will arise. It is indeed the inter-connection of AI-based systems (legal, transportation, medical decision, creativity, security etc), with the erasure of human judgment that raises the question of the governance of the whole, with forms of regulation and complex organizational learning of another order to be imagined.
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