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  1. A Scale Problem with the Ecosystem Services Argument for Protecting Biodiversity.Katie H. Morrow - 2023 - Environmental Values 32 (3):271-290.
    The ecosystem services argument is a highly publicised instrumental argument for protecting biodiversity. I develop a new objection to this argument based on the lack of a causal connection from global species losses to local ecosystem changes. I survey some alternative formulations of services arguments, including ones incorporating option value or a precautionary principle, and show that they do not fare much better than the standard version. I conclude that environmental thinkers should rely less on ecosystem services as a means (...)
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  • Biodiversity vs. paleodiversity measurements: the incommensurability problem.Federica Bocchi - 2022 - European Journal for Philosophy of Science 12 (4):1-24.
    Estimating whether the Earth’s biota is in the middle of a crisis relies heavily on comparisons between present and past data about biodiversity or biodiversity surrogates. Although the past is a crucial source of information to assess the severity of the current biodiversity crisis, substantive conceptual and methodological questions remain about how paleodiversity and biodiversity are to be properly compared. I argue that to justify claims of a current biodiversity crisis is harder than it appears. More precisely, I claim that (...)
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  • Towards a bioinformational understanding of AI.Rahul D. Gautam & Balaganapathi Devarakonda - 2022 - AI and Society 37:1-23.
    The article seeks to highlight the relation between ontology and communication while considering the role of AI in society and environment. Bioinformationalism is the technical term that foregrounds this relationality. The study reveals instructive consequences for philosophy of technology in general and AI in particular. The first section introduces the bioinformational approach to AI, focusing on three critical features of the current AI debate: ontology of information, property-based vs. relational AI, and ontology vs. constitution of AI. When applied to the (...)
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