If people are inclined to attribute race to humanoid robots, as recent research suggests, then designers of social robots confront a difficult choice. Most existing social robots have white surfaces and are therefore, I suggest, likely to be perceived as White, exposing their designers to accusations of racism. However, manufacturing robots that would be perceived as Black, Brown, or Asian risks representing people of these races as slaves, especially given the historical associations between robots and slaves at the very origins (...) of the project of robotics. The only way engineers might avoid this ethical and political dilemma is to design and manufacture robots to which people will struggle to attribute race. Doing so, however, would require rethinking the relationship between robots and “the social,” which sits at the heart of the project of social robotics. Discussion of the race politics of robots is also worthwhile because of the potential it has to generate insights about the politics of artifacts, the relationship between culture and technology, and the responsibilities of engineers. (shrink)

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)