Facebook Twitter Linkedin
Sign in
Sign In

AI

Education
Dan Wu

Exploring the Future of Human–AI Collaboration: Insights from “Human–AI Interaction and Collaboration”

How should people and AI work together in ways that are useful, ethical, and trustworthy? Edited by Dan Wu and Shaobo Liang (Wuhan University), “Human–AI Interaction and Collaboration” maps the fast-moving terrain where users, systems, and information meet—treating human strengths and machine strengths as complements, not substitutes. The introduction frames collaboration as a user-centered endeavor that must balance capability with ethics, transparency, and trust.

Read More
FeaturedTranslation
Evelyn Cox

AI in a Tribal Context: Diverse Perspectives Matter in a Changing Landscape

With Artificial Intelligence’s (AI) seemingly increasing integration into various aspects of society, nations worldwide—including Tribal Nations—are assessing its impact on the changing landscape. AI is a revolutionary technology that poses potential opportunities and risks for federally recognized Indian Tribes (Tribal Nations or Tribes) and their citizens. This article provides an overview of the literature related to AI in a tribal context.

Read More
EditorialFeatured
Chirag Shah

Agentic Algorithmic Amplification and The Choices We Face

Whether we like it or not, know it or not, we have been living in the agentic age of algorithms long before the recent rush to building agentic systems. None of these systems were explicitly programmed to promote conspiracy theories. But they were programmed to maximize engagement, and they discovered—through the same machine learning techniques that help them recognize faces or translate languages—that false, emotionally charged content was engagement gold.

Read More
Opinion
Pathum B Rathnayake

Co-Pilot, Not Autopilot: Navigating the Future of Qualitative Research

Recently, a group of 3 published an open letter signed by over 400 qualitative researchers. Their message was clear: “Keep AI away from our work.” They argue that using AI to find themes in data kills the “reflexive” process, the deeply human act of interpreting nuance, emotion, and meaning. I have spent my career championing the human touch in the EdTech works and research. I understand their fear. However, I believe this total rejection is a mistake. We should not be banning Gen AI; we should be teaching researchers how to master it.

Read More
FeaturedTranslation
Pethigamage Perera

AI in the House of God: A Threat, Tool or Transformation?

Artificial Intelligence (AI) is reshaping nearly every corner of human life—from classrooms to hospitals and corporate offices. But what happens when it enters the house of worship? Can a machine deliver the word of God, or does this cross a sacred boundary? Our study, “AI in the House of God: Threat, Tool or Transformation?” (ASIS&T 2025), explores how people respond to AI-driven sermons and what this means for the future of faith and technology.

Read More
FeaturedTranslation
Yuhao Zhang

When YouTube Meets Grandma: How Older Adults Perceive and Influence AI Recommendations

Behind every “You May Also Like” video sits an algorithm — an invisible curator quietly shaping what we see and what we don’t. Most of us accept this invisible hand as usual. We know it’s there, even if we don’t fully understand it. But for older adults, those who first learned about the world through newspapers, radio, and television, the logic of these recommendations can be confusing.

Read More
EditorialFeatured
Chirag Shah

Oil and Water: Why We Need to Stop Forcing Human-AI “Collaboration”

We’ve been sold a lie about human-AI collaboration. The truth is far more unsettling: humans and AI don’t operate on different levels—they operate in fundamentally incompatible realities. One experiences genuine uncertainty and constructs meaning through time; the other executes pattern-matching in milliseconds without ever “knowing” anything at all. It’s time to stop pretending they’re teammates and start designing for what they actually are: oil and water.

Read More