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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.

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Translation
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.

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Translation
Misita Anwar

Digital Commons for Coastal Communities

For coastal communities affected by climate change, digital commons go beyond technological inclusion as they are building the foundations of information empowerment and resilience. In this article we propose that digital commons can be a powerful model for information empowerment in coastal regions of developing countries. We illustrate this through our project, in South Sulawesi, Indonesia.

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Translation
Rachel Williams

Training Librarians for Crisis Communication: Why Virtual Reality Might Be the Answer

When you step into your local public library on a typical afternoon, you might see children and their families gathered for story time, a retiree reading in a corner, or a student hunched over a laptop. But, just as often, librarians encounter a very different scene: a patron in crisis. Public libraries have increasingly become places where people facing houselessness, mental health crises, or other personal struggles turn for help.

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Translation
Melanie A. Kilian

Right Answers to Wrong Questions: How Misconceptions Lead to Confidence and Task Failure

Typos, blurry terms, missing details – search engines, such as Bing, Google, and Yahoo, have learnt to recognize and deal with unclear search queries. “Did you mean …?” is a counter-question most of us internet users may have gotten once from these tools after entering a search query. So, these systems have our inaccuracies covered, right? And we can explore the search results and relax? Well, it is not that easy.

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Translation
Wenqing Wu

Assess Novelty in Academic Research: A Human-AI Collaborative Approach

In academia, one of the key criteria for determining whether a research paper is publishable is its novelty. Novelty means that the paper is bringing something new to the table—new ideas, new methods, or new findings that haven’t been seen before. It’s like asking, “Does this paper tell us something we didn’t already know?” But figuring out whether a paper is truly novel can be tricky. Traditionally, experts in the field have been responsible for making such judgements, but even they have their limitations. Another way is to measure the novelty of a study through unusual combinations of references or journals in its bibliography, but this is not always reliable either. So, can we combine the strengths of humans and machines to improve this process?

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