<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Philosophy on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/philosophy/</link><description>Recent content in Philosophy on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/philosophy/index.xml" rel="self" type="application/rss+xml"/><item><title>Weak artificial intelligence</title><link>https://terms-en.ai-term-hub.com/en/terms/weak_artificial_intelligence/</link><pubDate>Sat, 18 Jul 2026 10:19:55 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/weak_artificial_intelligence/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Weak artificial intelligence, also known as narrow AI, refers to systems engineered to solve particular problems or perform specific tasks, such as facial recognition or language translation. Unlike strong AI, it does not possess consciousness, self-awareness, or general reasoning capabilities across diverse domains. These systems operate under a limited set of constraints and are highly optimized for their designated functions, forming the backbone of current practical AI applications in industry and research.&lt;/p></description></item><item><title>Singularity studies</title><link>https://terms-en.ai-term-hub.com/en/terms/singularity_studies/</link><pubDate>Sat, 18 Jul 2026 10:15:35 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/singularity_studies/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Singularity studies is an emerging academic discipline that investigates the implications of a hypothetical future point where artificial intelligence surpasses human intelligence, leading to uncontrollable and irreversible technological growth. It draws from philosophy, sociology, computer science, and ethics to analyze risks such as loss of human agency, economic disruption, and existential threats. Researchers in this field often debate the timeline, probability, and mitigation strategies for superintelligence, aiming to prepare humanity for profound changes in civilization structure and human identity.&lt;/p></description></item><item><title>Moral Outsourcing</title><link>https://terms-en.ai-term-hub.com/en/terms/moral_outsourcing/</link><pubDate>Sat, 18 Jul 2026 10:07:54 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/moral_outsourcing/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Moral outsourcing refers to the phenomenon where humans cede ethical judgment and responsibility to algorithms or AI systems. This occurs when people rely on automated decisions for morally significant outcomes, such as hiring, lending, or justice, without fully understanding or questioning the underlying logic. Critics argue this can lead to accountability gaps, where no single entity is responsible for harmful outcomes. It raises questions about human agency, bias amplification, and the erosion of personal moral engagement in complex societal interactions.&lt;/p></description></item><item><title>Human-centered AI</title><link>https://terms-en.ai-term-hub.com/en/terms/human_centered_ai/</link><pubDate>Sat, 18 Jul 2026 10:01:25 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/human_centered_ai/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Human-centered AI is a design philosophy that places humans at the core of artificial intelligence development. It emphasizes creating systems that are transparent, fair, and beneficial to society, rather than focusing solely on technical performance metrics. This approach involves engaging stakeholders, including end-users and affected communities, to understand their needs and constraints. By integrating ethical considerations and usability principles, human-centered AI aims to build trust and ensure that technology serves as a tool for empowerment and improvement, minimizing potential harms and maximizing positive social impact.&lt;/p></description></item><item><title>Embodied cognitive science</title><link>https://terms-en.ai-term-hub.com/en/terms/embodied_cognitive_science/</link><pubDate>Sat, 18 Jul 2026 09:56:39 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/embodied_cognitive_science/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>This field challenges traditional views that treat the mind as a computer processing abstract symbols. Instead, it argues that cognitive processes are deeply rooted in the body&amp;rsquo;s physical characteristics and its dynamic engagement with the world. It integrates insights from neuroscience, psychology, and philosophy to explain how perception, action, and environment co-evolve to produce intelligent behavior.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>Embodied cognitive science is a theoretical framework proposing that human cognition is fundamentally shaped by the body&amp;rsquo;s interactions with the environment.&lt;/p></description></item><item><title>Coherent extrapolated volition</title><link>https://terms-en.ai-term-hub.com/en/terms/coherent_extrapolated_volition/</link><pubDate>Sat, 18 Jul 2026 09:50:01 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/coherent_extrapolated_volition/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Coherent Extrapolated Volition (CEV) is a concept introduced by Eliezer Yudkowsky in the context of AI safety and alignment. It suggests that an advanced AI should not simply obey current human commands, but rather extrapolate what humans would want if they knew more, thought faster, were more the people we wished we were, and integrated more sincerely with each other. The &amp;lsquo;coherent&amp;rsquo; part implies resolving contradictions in human values into a consistent utility function, aiming to maximize human flourishing based on our idealized preferences rather than our flawed immediate impulses.&lt;/p></description></item><item><title>Bioserenity</title><link>https://terms-en.ai-term-hub.com/en/terms/bioserenity/</link><pubDate>Sat, 18 Jul 2026 09:48:33 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/bioserenity/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Bioserenity refers to the conceptual ideal where human biology and artificial intelligence operate in seamless, non-conflicting harmony. It emphasizes ethical integration, ensuring that AI augmentation enhances rather than disrupts natural human processes. This concept is often discussed in transhumanist circles, focusing on mental peace and cognitive balance when interacting with advanced neural interfaces or AI assistants, aiming to prevent digital overload or existential dissonance.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>A theoretical state of harmonious coexistence between biological life and artificial intelligence systems.&lt;/p></description></item><item><title>Artificial intelligence in spirituality</title><link>https://terms-en.ai-term-hub.com/en/terms/artificial_intelligence_in_spirituality/</link><pubDate>Sat, 18 Jul 2026 09:46:35 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/artificial_intelligence_in_spirituality/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>AI in spirituality refers to the application of artificial intelligence in religious or contemplative contexts. This includes chatbots offering moral advice, AI-generated art for meditation, or algorithms analyzing sacred texts. Some view AI as a tool for enhancing mindfulness, while others debate whether machines can possess consciousness or soul-like qualities. This field raises profound questions about the nature of consciousness, the role of technology in faith, and the boundaries between human spirituality and machine simulation.&lt;/p></description></item><item><title>Artificial wisdom</title><link>https://terms-en.ai-term-hub.com/en/terms/artificial_wisdom/</link><pubDate>Sat, 18 Jul 2026 09:46:35 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/artificial_wisdom/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Artificial wisdom (AW) is an emerging concept that seeks to augment artificial intelligence with human-like values, ethical considerations, and long-term strategic judgment. While AI focuses on efficiency and pattern recognition, AW aims to incorporate moral reasoning, cultural context, and holistic understanding into decision-making processes. It addresses the limitations of pure data-driven approaches by integrating normative frameworks, ensuring that automated systems act in ways that are not only effective but also socially responsible and aligned with human well-being.&lt;/p></description></item><item><title>Artificial consciousness</title><link>https://terms-en.ai-term-hub.com/en/terms/artificial_consciousness/</link><pubDate>Sat, 18 Jul 2026 09:46:04 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/artificial_consciousness/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Artificial consciousness explores the possibility of creating machines that possess genuine subjective experiences, self-awareness, and feelings, rather than merely simulating intelligent behavior. It intersects philosophy, neuroscience, and computer science, questioning whether consciousness can be computed. Current AI lacks true awareness, operating instead on statistical correlations. Research in this area aims to define metrics for machine sentience and understand the fundamental nature of consciousness, though no consensus exists on how or if it can be artificially replicated.&lt;/p></description></item><item><title>Aporia</title><link>https://terms-en.ai-term-hub.com/en/terms/aporia/</link><pubDate>Sat, 18 Jul 2026 09:45:50 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/aporia/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>In philosophy and AI theory, aporia describes a paradoxical situation where two equally valid arguments lead to contradictory outcomes. In machine learning, this might manifest when a model&amp;rsquo;s performance metrics conflict with its ethical implications or when interpretability methods yield inconsistent explanations. Recognizing aporia helps researchers identify fundamental limitations in current frameworks, prompting deeper investigation into model behavior and theoretical consistency rather than accepting superficial solutions.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;h2 id="key-concepts">Key Concepts&lt;/h2>
&lt;ul>
&lt;li>Paradox&lt;/li>
&lt;li>Logical Contradiction&lt;/li>
&lt;li>Interpretability Limits&lt;/li>
&lt;li>Philosophical Inquiry&lt;/li>
&lt;/ul>
&lt;h2 id="use-cases">Use Cases&lt;/h2>
&lt;ul>
&lt;li>Analyzing model bias conflicts&lt;/li>
&lt;li>Ethical dilemma resolution&lt;/li>
&lt;li>Theoretical AI research&lt;/li>
&lt;/ul>
&lt;h2 id="related-terms">Related Terms&lt;/h2>
&lt;ul>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/paradox/">Paradox&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/interpretability/">Interpretability&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/ethics/">Ethics&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/reasoning/">Reasoning&lt;/a>&lt;/li>
&lt;/ul></description></item><item><title>AI effect</title><link>https://terms-en.ai-term-hub.com/en/terms/ai_effect/</link><pubDate>Sat, 18 Jul 2026 09:44:10 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/ai_effect/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>The AI effect describes the shifting boundary of what constitutes &amp;lsquo;artificial intelligence.&amp;rsquo; As algorithms become more sophisticated and capable of performing specific tasks, those tasks are often reclassified as mere computation or automation rather than true intelligence. This psychological and sociological shift means that success in AI often leads to the devaluation of the achievement, pushing the definition of intelligence further away from current capabilities. It highlights the dynamic nature of human expectations regarding machine cognition.&lt;/p></description></item></channel></rss>