Interdisciplinary Perspectives on Human and AI Intelligence in Social Realities

The rapid rise of artificial intelligence, particularly since November 2022, has reshaped the ways humans interact with technology in everyday life, education, and the workplace. As AI systems increasingly play a more dominant role in text generation, engage in conversation, assist in creative work, and simulate human behavior, the distinction between human and artificial intelligence becomes more complex. <br/>A key debate in this context is how intelligence and sentience manifest in human-AI contexts—not as fixed properties of either humans or machines, but as relational and context-dependent phenomena. When users engage with AI-generated (or enhanced) text, chatbots, voice assistants, or humanoid robots, they often attribute intelligence, expertise and even sentience to these systems, even though AI operates on probabilistic modeling rather than human understanding or self-awareness. So what does it mean to perceive an AI system as intelligent? Under what conditions do users understand AI-output and behavior as intelligent, expertly, sentient or socially competent?<br/>The Merriam-Webster Dictionary defines intelligence as “the ability to learn or understand or to deal with new or trying situations” and “the skilled use of reason.” Sentience, by contrast, refers to a person’s ability to sense and feel: “being conscious of or responsive to the sensations of seeing, hearing, feeling, tasting, or smelling.” These qualities are deeply tied to social activities and the ability to engage in shared sense-making. Henceforth, we therefore treat intelligence and sentience as interdependent phenomena that emerge through sense-making activities, rather than intrinsic traits of humans or AI systems.<br/>In computer science, intelligence is understood in terms of computation. AI does not “understand” meaning in a human sense but produces outputs based on probabilistic models, data patterns, and algorithmic rules. Nevertheless, users often interpret AI outputs as intelligent, meaningful, responsive, or even sentient. This raises critical questions about the mechanisms through which AI-human sense-making activities shape our perceptions of intelligence and sentience.<br/>As Stultz (2024, p. 253) notes, intelligence is inherently subjective, shaped by social expectations and individual experiences. This panel explores the notions of intelligence and sentience from diverse interdisciplinary perspectives, focusing on AI-mediated user experiences across multiple domains. Contributions will examine AI’s role in text production, speech-sound processing (voice interfaces), digital conversations (chatbots), and variants of human-robot interactions (humanoid robots,), and AI.<br/>With an interdisciplinary approach, we aim to refine our critical understanding of intelligence and sentience—both from human perspectives and the lens of specialized AI systems. <br/>

Authors

Publication Details

Published
2025-12-04
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Interdisciplinary Perspectives on Human and AI Intelligence in Social Realities

Tanya Karoli Christensen, Jeanette; id_orcid 0000-0001-7212-1125 Landgrebe
Ethics and Social Impacts of AI
article

Interdisciplinary Perspectives on Human and AI Intelligence in Social Realities

Tanya Karoli Christensen, Jeanette; id_orcid 0000-0001-7212-1125 Landgrebe
article en

Abstract

The rapid rise of artificial intelligence, particularly since November 2022, has reshaped the ways humans interact with technology in everyday life, education, and the workplace. As AI systems increasingly play a more dominant role in text generation, engage in conversation, assist in creative work, and simulate human behavior, the distinction between human and artificial intelligence becomes more complex. <br/>A key debate in this context is how intelligence and sentience manifest in human-AI contexts—not as fixed properties of either humans or machines, but as relational and context-dependent phenomena. When users engage with AI-generated (or enhanced) text, chatbots, voice assistants, or humanoid robots, they often attribute intelligence, expertise and even sentience to these systems, even though AI operates on probabilistic modeling rather than human understanding or self-awareness. So what does it mean to perceive an AI system as intelligent? Under what conditions do users understand AI-output and behavior as intelligent, expertly, sentient or socially competent?<br/>The Merriam-Webster Dictionary defines intelligence as “the ability to learn or understand or to deal with new or trying situations” and “the skilled use of reason.” Sentience, by contrast, refers to a person’s ability to sense and feel: “being conscious of or responsive to the sensations of seeing, hearing, feeling, tasting, or smelling.” These qualities are deeply tied to social activities and the ability to engage in shared sense-making. Henceforth, we therefore treat intelligence and sentience as interdependent phenomena that emerge through sense-making activities, rather than intrinsic traits of humans or AI systems.<br/>In computer science, intelligence is understood in terms of computation. AI does not “understand” meaning in a human sense but produces outputs based on probabilistic models, data patterns, and algorithmic rules. Nevertheless, users often interpret AI outputs as intelligent, meaningful, responsive, or even sentient. This raises critical questions about the mechanisms through which AI-human sense-making activities shape our perceptions of intelligence and sentience.<br/>As Stultz (2024, p. 253) notes, intelligence is inherently subjective, shaped by social expectations and individual experiences. This panel explores the notions of intelligence and sentience from diverse interdisciplinary perspectives, focusing on AI-mediated user experiences across multiple domains. Contributions will examine AI’s role in text production, speech-sound processing (voice interfaces), digital conversations (chatbots), and variants of human-robot interactions (humanoid robots,), and AI.<br/>With an interdisciplinary approach, we aim to refine our critical understanding of intelligence and sentience—both from human perspectives and the lens of specialized AI systems. <br/>

Quality Education
Openalex Percentile: Top 21%
Ethics and Social Impacts of AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.