Impartial artificial intelligence: An ecocentric consideration towards non-human sentients

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ID: 287055
2023
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Abstract
In 2021, Ken Daley wrote a paper called “Two arguments against human-friendly AI”, wherein he questions the ethics of a human-friendly AI. He questions whether or not harm to and the benefits for humans are sufficient enough reasons to develop a Friendly AI (FAI) over an impartially ethical Artificial General Intelligence (IAI). Daley makes the claim that: Impartial AIs will benefit all sentients much better than a human-friendly AI. Daley himself raises concerns that the construction of IAI will pose a substantial and existential risk for humans. Despite these risks he goes on to say that if humanity were to be capable of creating an AI that better respects the interests of all sentients, then we ought to morally do so. I claim that given our dependance on a healthy ecosystem and the fact that we have a bigger impact on it, we ought to develop an AI that would be able to better respect the interests of all components of an ecosystem. An AI that surpasses human intelligence would pose a drastic existential problem for humanity and other sentient beings should its moral decision-making skills be lacking and underdeveloped. Therefore to ensure that all important aspects of an ecosystem are to be given proper moral consideration one merely needs to see the value sentient beings and non-sentient entities have on the ecosystem. I aim to use Daley’s framework on Impartial Artificial Intelligence as a jumping off point. The intent is to put forth the claim that ecocentrism is a more fitting and better ethical worldview to support why other sentient beings deserve moral consideration in the field of AI research. This research will hopefully introduce a more inclusive perspective on who or what deserves moral consideration by an AI in a future wherein that AI can think and act similar to or far better than that of a human mind.
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persistent_1760660464_68f18bf076f62 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Tan, Inigo Felipe P.
Journal Malay Journal
Year 2023
DOI
DOI not found
URL
https://animorepository.dlsu.edu.ph/etdb_philo/36
Keywords Keywords not found

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