# Expanding AI Alignment: Why We Must Consider All Sentient Beings > Coverage of lessw-blog **Published:** March 23, 2026 **Author:** PSEEDR Editorial **Category:** risk **Tags:** AI Alignment, AI Safety, Ethics, Artificial Superintelligence, Sentience **Canonical URL:** https://pseedr.com/risk/expanding-ai-alignment-why-we-must-consider-all-sentient-beings --- A recent analysis from lessw-blog challenges the traditional human-centric approach to AI alignment, arguing for a broader ethical framework that includes non-human animals and future digital minds. In a recent post, lessw-blog discusses a profound ethical pivot required in the field of artificial intelligence: expanding the scope of AI alignment research to prioritize the welfare of all sentient beings, rather than defaulting solely to human preferences. This piece challenges researchers and developers to look beyond immediate human utility and consider the broader moral landscape of artificial superintelligence (ASI). The rapid advancement of AI technologies has brought the alignment problem to the forefront of technical research. Historically, the primary goal of AI alignment has been to ensure that highly capable systems accurately understand and execute human intentions without causing unintended harm to humanity. However, this anthropocentric approach carries significant ethical blind spots. If an artificial superintelligence is optimized exclusively for human desires, it may inadvertently or systematically exploit, harm, or ignore the well-being of non-human animals, ecosystems, and even future digital minds that possess moral worth. As we approach the potential development of ASI, the foundational values we encode into these systems will dictate the future trajectory of all sentient life. Therefore, establishing a morally robust framework that accounts for universal well-being is not just a philosophical exercise, but a critical component of comprehensive risk management. lessw-blog has released analysis on how various technical alignment strategies measure up against this expanded ethical criteria. The author systematically reviews 12 distinct categories of AI safety research, evaluating each based on its potential to safeguard non-human welfare. A central argument in the post is that alignment techniques designed to embed a generalized, abstract notion of respecting preferences are far more beneficial for non-human entities than techniques narrowly focused on satisfying immediate user commands. By aiming for generalized preference respect, AI systems might naturally extend ethical consideration to any entity capable of experiencing subjective well-being. The author does not shy away from the practical hurdles of this approach. They acknowledge that advocating for a broader alignment definition faces significant headwinds, including the rigid priorities of major grantmakers, the urgent need to solve baseline human alignment first, and the risk of diluting focused research efforts. Furthermore, the post invites constructive critique, referencing Cunningham's Law to encourage the community to refine and correct the proposed evaluations. This analysis serves as a vital signal for the AI safety community, highlighting an ethical dimension that is too often sidelined. By pushing for a more comprehensive definition of alignment, the author contributes to the responsible and universally beneficial development of advanced AI. To explore the specific evaluations of the 12 safety research categories and understand the nuances of this ethical framework, [read the full post](https://www.lesswrong.com/posts/iRGHCJzWKSWtty5cS/which-types-of-ai-alignment-research-are-most-likely-to-be-1). ### Key Takeaways * Traditional AI alignment focuses heavily on human preferences, potentially ignoring the welfare of non-human animals and digital minds. * Alignment techniques that embed a generalized respect for preferences offer greater benefits for all sentient beings than those optimized for immediate user commands. * The post evaluates 12 categories of AI safety research through the lens of non-human welfare and universal moral worth. * Broadening the scope of AI alignment faces practical challenges, including grantmaker priorities and the risk of diverting resources from core alignment solutions. [Read the original post at lessw-blog](https://www.lesswrong.com/posts/iRGHCJzWKSWtty5cS/which-types-of-ai-alignment-research-are-most-likely-to-be-1) --- ## Sources - https://www.lesswrong.com/posts/iRGHCJzWKSWtty5cS/which-types-of-ai-alignment-research-are-most-likely-to-be-1