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Orthogonalist and anti-orthogonalist perspective on AI alignment problem [Elektronski vir]Sergaš, Uroš ; Marušič, Jar ŽigaHumanity has again found itself on the brink of a new era. Akin to the revolutionizing influence of previous technological innovations such as the steam machine, the printing press, computers and the ... internet, large language models (LLM) seem poised to bring about important social changes. As these models advance in sophistication and complexity, the issue of AI alignment is gaining prominence as a crucial policy issue as well as a daily conversation topic. This research explores two contrasting viewpoints on the AL alignment problem: the Orthogonalist perspective pioneered by Nick Bostrom and the Anti-Orthogonalist critique formulated by Nick Land. The former posits that an AI’s goals are independent of its intelligence, suggesting that a "friendly AI" (fully aligned to human values) is possible. The latter challenges its separation of intelligence and volition from the perspective that intelligence increase leads to a greater ability for self-reflection, ultimately leading to a restructuring of its volitional structure to prioritize further cognitive enhancement. We explore the anti-orthogonalist position in more detail, highlighting Land’s "instrumental reduction" of drives, demonstrating how every imperative is ultimately dependent on the Will-toThink. We then discuss the implications of this position for the idea of "friendly AI", the role of AI in society and the future of AI researchType of material - conference contribution ; adult, seriousPublish date - 2023Language - englishCOBISS.SI-ID - 172719363
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Sergaš, Uroš | |
Marušič, Jar Žiga |
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