Against human exceptionalism: environmental ethics and machine question

Laukyte, Migle

doi:https://doi.org/10.1007/978-3-030-01800-9_18

Against human exceptionalism: environmental ethics and machine question

Citation

Laukyte M. Against human exceptionalism: environmental ethics and machine question. In: Berkich D, d'Alfonso MV (eds.). On the cognitive, ethical, and scientific dimensions of artificial intelligence. Cham: Springer; 2019. p. 325-40. DOI: 10.1007/978-3-030-01800-9_18

Abstract

This paper offers an approach for addressing the question of how to deal with artificially intelligent entities, such as robots, mindclones, androids, or any other entity having human features. I argue that to this end we can draw on the insights offered by environmental ethics, suggesting that artificially intelligent entities ought to be considered not as entities that are extraneous to the human social environment, but as forming an integral part of that environment. In making this argument I take a radical strand of environmental ethics, namely, Deep Ecology, which sees all entities as existing in an inter-relational environment: I thus reject any “firm ontological divide in the field of existence” (Fox W, Deep ecology: A new philosophy of our time? In: Light A, Rolston III H (eds) Environmental ethics: An anthologyBlackwell, Oxford, 252–261, 2003) and on that basis I introduce principles of biospherical egalitarianism, diversity, and symbiosis (Naess A, Inquiry 16(1):95–100, 1973). Environmental ethics makes the case that humans ought to “include within the realms of recognition and respect the previously marginalized and oppressed” ((Gottlieb RS, Introduction. In: Merchant C (ed) Ecology. Humanity Books, Amherst, pp ix–xi, 1999)). I thus consider (a) whether artificially intelligent entities can be described along these lines, as somehow “marginalized” or “oppressed,” (b) whether there are grounds for extending to them the kind of recognition that such a description would seem to call for, and (c) whether Deep Ecology could reasonably be interpreted in such a way that it apply to artificially intelligent entities.