This paper explores the important role of critical science, and in particular of post-colonial and decolonial theories, in understanding and shaping the ongoing advances in artificial intelligence. Artificial intelligence is viewed as amongst the technological advances that will reshape modern societies and their relations. While the design and deployment of systems that continually adapt holds the promise of far-reaching positive change, they simultaneously pose significant risks, especially to already vulnerable peoples. Values and power are central to this discussion. Decolonial theories (...) use historical hindsight to explain patterns of power that shape our intellectual, political, economic, and social world. By embedding a decolonial critical approach within its technical practice, AI communities can develop foresight and tactics that can better align research and technology development with established ethical principles, centring vulnerable peoples who continue to bear the brunt of negative impacts of innovation and scientific progress. We highlight problematic applications that are instances of coloniality, and using a decolonial lens, submit three tactics that can form a decolonial field of artificial intelligence: creating a critical technical practice of AI, seeking reverse tutelage and reverse pedagogies, and the renewal of affective and political communities. The years ahead will usher in a wave of new scientific breakthroughs and technologies driven by AI research, making it incumbent upon AI communities to strengthen the social contract through ethical foresight and the multiplicity of intellectual perspectives available to us, ultimately supporting future technologies that enable greater well-being, with the goal of beneficence and justice for all. (shrink)

This paper develops and articulates a metaphysics of intersectionality, the idea that multiple axes of social oppression cross-cut each other. Though intersectionality is often described through metaphor, theories of intersectionality can be formulated using the tools of contemporary analytic metaphysics. A central tenet of intersectionality theory, that intersectional identities are inseparable, can be framed in terms of explanatory unity. Further, intersectionality is best understood as metaphysical and explanatory priority of the intersectional category over its constituents, akin to metaphysical priority of (...) the whole over its parts. (shrink)

It is impossible to deduce the properties of a strongly emergent whole from a complete knowledge of the properties of its constituents, according to C. D. Broad, when those constituents are isolated from the whole or when they are constituents of other wholes. Elanor Taylor proposes the Collapse Problem. Macro-level property p supposedly emerges when its micro-level components combine in relation r. However, each component has the property that it can combine with the others in r to produce p. Broad’s (...) nondeducibility criterion is not met. This article argues that the amount of information required for r is physically impossible. Strong Emergence does not collapse. But the Collapse Problem does. Belief in Strong Emergence is strongly warranted. Strong Emergence occurs whenever it is physically impossible to deduce how components, in a specific relation, would combine to produce a whole with p. Almost always, that is impossible. Strong Emergence is ubiquitous. Word counts. (shrink)