Citizens act as co-creators who should collaborate with archivists to enrich AI-generated archival descriptions, by highlighting the symbolic and emotional aspects conveyed by these records. This role is complemented by that of citizens who serve as auditors, verifying the quality of the outputs generated by disruptive technologies.
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For decades, discussions about international scientific collaboration have focused on questions such as: How many countries participate? How large are research teams? How diverse are collaborations? But a more fundamental question remains underexplored: Who is studying whom?
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Digital technologies are reshaping heritage practice at an unprecedented pace. Yet the promise of digital heritage — greater access, richer data, more durable preservation — remains unrealised due to fragmented infrastructure, absent standards culture, and a persistent mismatch between the logic of digital systems and the inherent complexity of heritage materials. A future sustainable digital heritage practice requires the global society to move beyond technical solutionism toward a framework that honours the diversity, contextuality, and epistemic richness of heritage data. The future of the global digital infrastructure depends on the choices we make today about how heritage is documented, stored, shared, and sustained.
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Written communication promotes understanding, conveys authority, and inspires action. In organizations, emails often serve as a proxy for leadership presence by setting a tone, articulating expectations, and reinforcing organizational culture. Increasingly, however, this communication is no longer written solely by the sender. With a simple prompt, generative AI can instantly produce a confident response before we even have time to think or take a breath. These tools are now being suggested, and in some cases required, for drafting organizational communication. For the sender, AI-assisted writing can be helpful and even a source of relief when balancing tasks. For the recipient, AI-assisted writing may appear professional and well written. Over time, however, recipients may learn to recognize the patterns and tone of AI-generated communication. This recognition may change how people interpret the intent and authenticity of written communication.
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Digital healthcare can increase convenience, reduce travel time, and make services available to more people, more quickly. Patients can access test results, book appointments, renew prescriptions, and, in many countries, read their medical records online. Yet as healthcare becomes increasingly digital, I find myself asking a different question: who is this system really designed for? More specifically, who is expected to understand it?
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Even when people use the same AI system, they do not evaluate AI-generated information in the same way. For example, imagine two students using Gemini or other generative AI tools for the same assignment and both receive nearly identical answers. One student quickly accepts the response and moves on. The other pauses, checks the information against outside sources, and revises the AI-generated output before using it.
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The prospect of moderating Autocomplete suggestions raises a range of ethical, technical, and political questions, such as how to distinguish between appropriate and inappropriate suggestions, who should have the power to make such distinctions, and how these decisions should be communicated to end-users. This article takes a user-centered approach to interrogating these questions. By conducting semi-structured interviews with 20 regular users of search platforms, I examine how users make sense of Autocomplete moderation, what concerns they have about its procedures, and how they seek to assert greater agency within the process.
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Global university rankings have become one of the most influential tools in higher education. Governments use them to shape internationalization policies, universities use them for strategic planning and reputation management, and students often rely on them when making educational choices. In many countries, rankings are no longer simply reference tools. They increasingly function as policy instruments. But an important question is often overlooked: who evaluates the rankings themselves?
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Opposite Ends of the Tay explores a growing collaboration between NHS Tayside and public libraries to strengthen information literacy and support preventative, person‑centred healthcare. Set against stark health inequalities in Scotland, it argues that libraries are vital community infrastructure for enabling people to find, judge and use health information safely.
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Anyone who has submitted a research paper knows the feeling. After months or years of work, the manuscript disappears into the peer review system. Days become weeks, weeks become months. You keep checking the submission portal, waiting for an answer. The final outcome certainly matters. Acceptance brings relief, rejection brings disappointment. But our study finds that the wait itself also matters, and more than we usually admit.
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