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Information Behavior

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.

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FeaturedFrontiers
Ponego Letswalo

Governance as Code: How AI is Enforcing Information Policies Directly in the Tech Stack

Traditional governance models, reliant on static documents and manual reviews, are fundamentally incompatible with the velocity and complexity of modern AI and software development. This paper examines the paradigm of “Governance as Code” (GaC), a transformative approach that embeds information policies, ethical guidelines, and compliance controls directly into the technology stack. By translating human-readable rules into machine-executable code, GaC enables proactive, automated enforcement within DevOps and AIOps pipelines. We explore practical implementations such as AI guardrails that filter sensitive prompts and automated risk-tiering systems that streamline project oversight.

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EducationFeatured
Nicole A. Cooke

Nourishing Communities with Knowledge: A Culinary Analogy Revisited

When teaching brand new doctoral students in library and information science (LIS), much discussion is dedicated to theories, paradigms, and the distinctions, and divides, between library science and information science. After reading Marcia Bates’ iconic article, The invisible substrate of information science (1999), a student asked: How do I explain what I do to others? How do I describe the relationship between data, information, and knowledge? 

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FeaturedOpinion
Ponego Letswalo

Can AI Have a Conscience? A Look at Ethics in Machine Learning

Can AI have a conscience? Of course, today’s AI isn’t a sentient being with feelings or guilt. It won’t lose sleep over a tough decision. But as artificial intelligence plays a bigger role in our lives, we do expect it to act responsibly. In essence, we want AI to follow ethical principles,  a sort of programmed “conscience” so that it helps society without harming it. This is the crux of AI ethics, an increasingly important topic now that machine learning systems are making decisions that matter.

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Promotional
Tingting Jiang

The Embodied Cognition and Experience Measurement Commons: Transforming Human Information Behavior Research

Wuhan University has led the way in designing and developing a transformative research facility, the Embodied Cognition and Experience Measurement Commons (ECEMC). It integrates state-of-the-art digital technologies to redefine experimental paradigms of information behavior research. The physical space of the ECEMC comprises three functional areas, each powered by distinct technological frameworks.

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FeaturedTranslation
Xiaoqian Zhang

Health Information Without Borders: The Struggles and Strategies of Older Chinese Adults in Canada

Have you ever struggled to find the right health information, unsure of where to turn or what advice to trust? For many older Chinese adults in Canada, this challenge is even greater. They often face situations such as navigating a complex healthcare system, overcoming language barriers, and balancing traditional health beliefs with Western medical practices. These challenges can impact how they make health decisions and their overall well-being. Through in-depth interviews with 20 older Chinese adults in Canada, our research explores various factors related to how they seek and use health information. What did we uncover? Join us as we delve into their stories and the broader implications for health equity in Canada.

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Translation
Christopher Lueg

Educated Perception: How What We See is Shaped by What We Know (and What We Can Do About It)

An old adage, often attributed to French writer Anaïs Nin, suggests we don’t see things as they are we see things as we are. Using deceptively simple words, the saying suggests that seeing is not just a process where wavelengths are converted to electric impulses that are then processed by the brain in mysterious ways to create what we then believe to see but rather that seeing, to some significant extent, is also a socially shaped and conditioned process, which is why it is relevant to information behavior research.

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Professional Development
Jelina Haines

Level Up Your InfoScience Path: Build Powerful Networks for Lifelong Learning

In today’s rapidly evolving field of information science (IS), continuous learning is no longer optional, it’s essential. But keeping up with the latest trends and developments can feel overwhelming if you go it alone. That’s where the power of supportive networks comes in. By cultivating a network of mentors, colleagues, and fellow lifelong learners, you can create a dynamic learning environment that fuels your professional growth.

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