How has multiplicity superseded impossibility in philosophical challenges to artificial consciousness?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)

This book reports on the results of the third edition of the premier conference in the field of philosophy of artificial intelligence, PT-AI 2017, held on November 4 - 5, 2017 at the University of Leeds, UK. It covers: advanced knowledge on key AI concepts, including complexity, computation, creativity, embodiment, representation and superintelligence; cutting-edge ethical issues, such as the AI impact on human dignity and society, responsibilities and rights of machines, as well as AI threats to humanity and AI safety; (...) and cutting-edge developments in techniques to achieve AI, including machine learning, neural networks, dynamical systems. The book also discusses important applications of AI, including big data analytics, expert systems, cognitive architectures, and robotics. It offers a timely, yet very comprehensive snapshot of what is going on in the field of AI, especially at the interfaces between philosophy, cognitive science, ethics and computing. (shrink)

If it is within our power to provide a significantly better world for future generations at a comparatively small cost to ourselves, we have a strong moral reason to do so. One way of providing a significantly better world may involve replacing our species with something better. It is plausible that in the not‐too‐distant future, we will be able to create artificially intelligent creatures with whatever physical and psychological traits we choose. Granted this assumption, it is argued that we should (...) engineer our extinction so that our planet's resources can be devoted to making artificial creatures with better lives. (shrink)

This paper is a review of the work that has been carried out on machine consciousness. A clear overview of this diverse field is achieved by breaking machine consciousness down into four different areas, which are used to understand its aims, discuss its relationship with other subjects and outline the work that has been carried out so far. The criticisms that have been made against machine consciousness are also covered, along with its potential benefits, and the work that has been (...) done on analysing systems for signs of consciousness. Some of the social and ethical issues raised by machine consciousness are examined at the end of the paper. (shrink)

Research is starting to identify correlations between consciousness and some of the spatiotemporal patterns in the physical brain. For theoretical and practical reasons, the results of experiments on the correlates of consciousness have ambiguous interpretations. At any point in time a number of hypotheses co-exist about and the correlates of consciousness in the brain, which are all compatible with the current experimental results. This paper argues that consciousness should be attributed to any system that exhibits spatiotemporal physical patterns that match (...) the hypotheses about the correlates of consciousness that are compatible with the current experimental results. Some computers running some programs should be attributed consciousness because they produce spatiotemporal patterns in the physical world that match those that are potentially linked with consciousness in the human brain. (shrink)

1. 1.1. Suffering is bad. This is why, ceteris paribus, there are strong moral reasons to prevent suffering. Moreover, typically, those moral reasons are stronger when the amount of suffering at st...

This paper is a review of the work that has been carried out on machine consciousness. A clear overview of this diverse field is achieved by breaking machine consciousness down into four different areas, which are used to understand its aims, discuss its relationship with other subjects and outline the work that has been carried out so far. The criticisms that have been made against machine consciousness are also covered, along with its potential benefits, and the work that has been (...) done on analysing systems for signs of consciousness. Some of the social and ethical issues raised by machine consciousness are examined at the end of the paper. (shrink)

This thesis introduces the Problem of Consciousness as an antinomy between Physicalism and Primitivism about the phenomenal. I argue that Primitivism is implausible, but is supported by two conceptual gaps. The ‘–tivity gap’ holds that physical states are objective and phenomenal states are subjective, and that there is no entailment from the objective to the subjective. The ‘–trinsicality gap’ holds that physical properties are extrinsic and phenomenal qualities are intrinsic, and that there is no entailment from the extrinsic to the (...) intrinsic. Stoljar’s Epistemic View (EV) suggests that we have a limited conception of the physical world, and that the apparent inexplicability of consciousness is merely a symptom of our ignorance. I argue that EV must satisfy two conditions which require it to specify the content of our ignorance. EV’s best hope is a Russellian appeal to our ignorance of intrinsic physical properties. After arguing in favour of this ignorance claim, I show how it undermines the –trinsicality gap. However, I suggest that the –tivity gap cannot be dealt with by the Russellian ignorance hypothesis, nor by any other version of EV. However, I then argue that the Russellian ignorance hypothesis can still be deployed as half of a hybrid account of the phenomenal. Representationalist theories of consciousness have difficulty with the –trinsicality gap, but show promise with the –tivity gap. Specifically, Kriegel’s Self-Representationalism indicates that there can indeed be an entailment from objective physical states to subjective phenomenal states. This paves the way for my hybrid account of consciousness: the subjectivity of a phenomenal state is the product of its self-representational structure, and the qualitative character of a phenomenal state is the product of the epistemically inaccessible intrinsic physical properties involved in its implementation. (shrink)

Reading the philosophical literature on consciousness, one might get the idea that there is just one problem in consciousness studies, the hard problem. That would be a mistake. There are other problems; some are more tractable, but none are easy, and all interesting. The literature on the hard problem gives the impression that we have made little progress. Consciousness is just an excuse to work and re-work familiar positions on the mind-body problem. But progress is being made elsewhere. Researchers are (...) moving towards increasingly specific accounts of the neural basis of conscious experience. These efforts will leave some questions unanswered, but they are no less significant for that. (shrink)