In a recent book (Tye 2017), Michael Tye argues that we have reason to attribute phenomenal consciousness to functionally similar robots like commander Data of Star Trek. He relies on a kind of inference to the best explanation – ‘Newton’s Rule’, as he calls it. I will argue that Tye’s liberal view of consciousness attribution fails for two reasons. First, it leads into an inconsistency in consciousness attributions. Second, and even more importantly, it fails because ceteris is not paribus. The (...) big, categorical difference in history between Data-like robots on the one hand and human beings on the other hand defeats the ceteris paribus assumption, which can be seen by various considerations. So the inference rule cannot be applied. We should not attribute phenomenal consciousness to robots like Data. (shrink)

In this chapter, Pautz raises a puzzle about spatial experience for phenomenal internalists like Ned Block. If an accidental, lifelong brain-in-the-void (BIV) should have all the same experiences as you, it would have an experience as of items having various shapes, and be able to acquire concepts of those shapes, despite being cut off from real things with the shapes. Internalists cannot explain this by saying that BIV is presented with Peacocke-style visual field regions having various shapes, because these would (...) have to be non-physical sense data. They might instead explain this by saying that BIV “phenomenally represents” various shape properties. But since BIV lacks any interesting physical relations to shapes, this would imply that phenomenally representation is an irreducible relation. (shrink)

How has multiplicity superseded impossibility in philosophical challenges to artificial consciousness? I assess a trajectory in recent debates on artificial consciousness, in which metaphysical and explanatory challenges to the possibility of building conscious machines lead to epistemological concerns about the multiplicity underlying ‘what it is like’ to be a conscious creature or be in a conscious state. First, I analyse earlier challenges which claim that phenomenal consciousness cannot arise, or cannot be built, in machines. These are based on Block’s Chinese (...) Nation and Chalmers’ Hard Problem. To defuse such challenges, theorists of artificial consciousness can appeal to empirical methods and models of explanation. Second, I explain why this naturalistic approach produces an epistemological puzzle on the role of biological properties in phenomenal consciousness. Neither behavioural tests nor theoretical inferences seem to settle whether our machines are conscious. Third, I evaluate whether the new challenge can be managed through a more fine-grained taxonomy of conscious states. This strategy is supported by the development of similar taxonomies for biological species and animal consciousness. Although it makes sense of some current models of artificial consciousness, it raises questions about their subjective and moral significance. (shrink)

Abstract: Type-B materialism is the thesis that though phenomenal states are necessarily identical with physical states, phenomenal concepts have no a priori connections to physical or functional concepts. Though type-B materialists have invoked this conceptual independence to counter a number of well-known arguments against physicalism (e.g. the conceivability of zombies, the ignorance of Mary, the existence of an 'explanatory gap'), anti-physicalists have raised objections to this strategy. My aim here is to defend type-B materialism against these objections, by arguing that (...) they share the common problem of not taking the central features of the view sufficiently seriously. However, I will end by noting that type-B materialism raises other questions, and suggesting that what stands in the way of an adequate naturalistic account of phenomenal states may be the propensity to take type-B materialism more seriously than it deserves. (shrink)

Most consciousness researchers, almost no matter what their views of the metaphysics of consciousness, can agree that the first step in a science of consciousness is the search for the neural correlate of consciousness (the NCC). The reason for this agreement is that the notion of ‘correlation’ doesn’t by itself commit one to any particular metaphysical view about the relation between (neural) matter and consciousness. For example, some might treat the correlates as causally related, while others might view the correlation (...) as evidence for identity between conscious states and brain states. The common ground therefore seems to be that the scientific search for the NCC is largely independent of the metaphysics of consciousness. (shrink)

Which non-human animals are phenomenally conscious? In this paper I argue that the distribution of phenomenal consciousness in the animal world is ultimately an unsolvable issue, because of an underlying problem inherent in the field: what I call the Kinda Hard Problem. The Kinda Hard Problem arises because the grounds on which we base our consciousness attributions to humans third-personally are either unavailable or ambiguous once we move to the animal case. Its nature is that of an epistemic problem: we (...) cannot collect enough evidential grounds to justify attributions of phenomenal consciousness (and attributions of its lack) to non-human animals. Thus, it is impossible to ground rational belief one way or another regarding animal consciousness. This paper presents the problem and explains how it differs from other problems of consciousness. (shrink)

In a recent book, Michael Tye argues that we have reason to attribute phenomenal consciousness to functionally similar robots like commander Data of Star Trek. He relies on a kind of inference to the best explanation – ‘Newton’s Rule’, as he calls it. I will argue that Tye’s liberal view of consciousness attribution fails for two reasons. First, it leads into an inconsistency in consciousness attributions. Second, and even more importantly, it fails because ceteris is not paribus. The big, categorical (...) difference in history between Data-like robots on the one hand and human beings on the other hand defeats the ceteris paribus assumption, which can be seen by various considerations. So the inference rule cannot be applied. We should not attribute phenomenal consciousness to robots like Data. (shrink)