Discussions of ethical issues in Artificial Intelligence have traditionally focused on moral dilemmas such as the trolley problem. However, this focus on fictional dilemmas has little correspondence with the realities of AI architecture, or the actual challenges facing the development and future direction of AI. The aim of this paper is to reposition AI ethics within the framework of actual AI development and human decision- making.
The article demystifies AI by reasserting its “tool” status – AI constitutes a family of technologies for statically-driven classification (of pixels notably). As such, it fundamentally differs from human cognition, as repeatedly argued by the successive paradigms of Cognitive Science since the 60s.
Mimicking late 50s comprehension of “neuron-firing” has led Computer Science to a series of fallacies that, ironically, sparked the emergence of fantastic tools (classifiers).
Following the extended and augmented conceptions of The Mind, we argue that AI technology is a tool for cognitive extension (through code and the models it creates) rather than a copy of human intracranial activity.
Through the epistemological exploration of concepts such as “representation”, “code”, “model”, we also suggest that AI is necessarily, constitutively biased, and is a part of cognition the way a hammer extends an arm or the way glasses improve or augment sight – AI is Augmentation, that of the user’s Intelligence.
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