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2. Philosophy - Stefano Franchi

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B ETWEEN ENGINEERING, SCIENCE, AND PHILOSOPHY.<br />

own broader interests—whereas AI “does” something: it proves theorems, writes pro-<br />

grams, builds hardware.<br />

Agre’s anecdote captures the essential of the antagonistic relationship between AI and<br />

philosophy. In fact, its three crucial elements are all contained in the AI’s rebuttal against<br />

philosophy: “They had a two thousand year head start and look what they did with it.” First,<br />

the perceived similarity of intents: philosophy started to work on the same problems and is<br />

presumably still working on them. Second, the necessity to gain a distance: the effort has<br />

been so ineffectual that anyone wishing to advance in the same field has better find a dif-<br />

ferent path toward the goal. Third and last, the recognition of the crucial difference: AI is<br />

going to succeed (or, at any rate, to fare better) because it has the tools to do something in-<br />

stead of wasting time talking over things. It should be emphasized that the emotional over-<br />

tones of the original statement can be toned down without changing the content in any<br />

substantial way. Thus, it may be granted that philosophy has had some good insights, in its<br />

two thousands year of bickering, but was unable to put it to proper use for a lack of proper<br />

methods. This slight rephrasing allows some collaborations between the two fields without<br />

violating their respective autonomies. Artificial Intelligence is allowed to look to philoso-<br />

phy for some raw and fuzzy ideas to turn into neatly polished mathematical form. The big<br />

“head start” may even make some kind of philosophical awareness necessary, as several AI<br />

scientists have claimed in recent years. Similarly, philosophy is encouraged to follow AI’s<br />

lead and switch its methodology to a more precise style of inquiry that would allow for<br />

some experimental testing of its intuitions.There are many examples of such appeals for a<br />

more intensive collaboration between the disciplines and Agre’s own strategy, in fact, falls<br />

within this category. Other appeals for a stricter collaboration between philosophy and AI<br />

have come, for example, from Yoav Shoam, John McCarthy, and Pat Hayes (all from the<br />

AI field) and from Daniel Dennett and Aaron Sloman, among others, from the philosophi-<br />

cal camp. AI workers sometimes go as far as proposing to look at philosophy as “the reser-<br />

voir of problems that AI should be working on,” in Shoam’s words, whereas philosophers,<br />

in general, stress that the “precision” provided by AI is exactly what philosophy needs in<br />

order to make real advances on classical philosophical areas like epistemology, the philos-<br />

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