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Machine Learning, Plant Learning, and the Destabilization of Buddhist Psychology |
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| Author |
Goodman, Charles (著)
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| Source |
Hualin International Journal of Buddhist Studies
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| Volume | v.3 n.2 Special Issue: Buddhism and Technology, and Epigraphy |
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| Date | 2020.10 |
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| Pages | 38 - 61 |
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| Publisher | Cambria Press |
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| Publisher Url |
http://www.cambriapress.com/
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| Location | New York, US [紐約州, 美國] |
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| Content type | 期刊論文=Journal Article |
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| Language | 英文=English |
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| Keyword | AI safety; existential risk; Buddhist psychology; five aggregates; vegetarianism; plant minds |
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| Abstract | Recent developments in artificial intelligence and the nascent scientific literature on ‘plant learning’ pose serious challenges to Buddhist philosophy of mind and to Buddhist practical ethics. These challenges are of two general types. First, the empirical results threaten to extend the reach of mind more broadly than premodern South Asian and Tibetan Buddhists were willing to allow, calling into question the rational defensibility of a range of Buddhist moral commitments.
But the discovery of learning in non-animals also threatens to destabilize the crucial Buddhist distinction between ‘sentient beings’ and the ‘receptacle world,’ and raises the possibility of a separation between intelligence and consciousness. The emergence of such a separation could require a basic rethinking of the traditional framework of the five aggregates. These developments should also sharpen our attention to AI safety by making the prospect of existential AI risk even more threatening than it would otherwise have been. |
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| ISSN | 25762923 (P); 25762931 (E) |
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| Hits | 379 |
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| Created date | 2021.03.23 |
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| Modified date | 2021.04.29 |
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