In mid-December of each year, my YouTube channel, INFIDEOS, gives a gift to its subscribers and viewers. These multimedia creations are freely available to everyone in Information Science and are especially suited for students of the field.
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AI is playing an increasingly larger part in our lives and the world around us. By some projections, we will have AGI, or Artificial General Intelligence, in less than a decade. Some are even arguing we are already there. Regardless of this timeline, it is clear that AI unchecked has potentials to cause great harms. Can we control or contain AI such that we can stop those harms? It’s not easy.
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Religious cults represent the worst form of marginalization. Libraries must help people avoid falling into the trap of cults by informing them. Otherwise, it becomes almost impossible to return cult members to normal life, and even if a person leaves a cult after several decades, the effects of living in a closed system will keep them marginalized forever.
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These days, everything from the every day choices we make to major scientific discoveries is increasingly relying on data. But how often do we stop and ask: Can we trust this data? How was it created? Who has changed it and how? Why should—or should not—we rely on it?
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This translation of the authors’ recent ARIST review, “Sociotechnical Governance of Misinformation,” highlights the urgency and importance of empirical research on misinformation governance to inform decision-making and policy-making in support of a healthier information environment.
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Super-partnerships exist between scholars connected within densely-knit collaboration networks. Understanding how such relationships affect scholars’ careers is of great importance. In this paper, focusing on the longitudinal aspects of scientific collaboration, we analyze collaboration profiles from the egocentric perspective and use analytic extreme value thresholds to identify super-partners. We explore the characteristics of super-partners and the added value of a long-term commitment, which provides quantitative insights into the effect on scientific collaboration associated with close collaboration.
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During the current moment, as generative AI dominates our thinking, both for its extraordinary performance and serious flaws, a new direction is needed. The way forward may involve looking backward. The addressing the deficiencies of generative AI would benefit from reviewing, and incorporating, some of the lessons from expert system development during the late 20th century.
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If scholars’ research outputs are high quality and add to knowledge in a field of scientific study, why should their geographical location or any aspect of their identity matter? Evidence demonstrates that cognitive and ideological differences are beneficial to research. Unfortunately, experience and the literature show differences between scholars’ geographical locations or their identities and their ability to obtain, produce, and distribute research outputs. The disparities can be described by focusing on geopolitical positions, such as low- and middle-income countries compared to high-income countries, or differences can be examined through a racial or ethnic lens, or any number of ways we identify individuals or groups of people.
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There are several ways to define Artificial Intelligence (AI), but the question is — does it matter? This editorial argues that instead of getting lost in the definitional issues, we should focus on designing systems and experiences that allow us to solve problems and accomplish tasks.
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This study demonstrates the transformative power of art-based approaches in understanding and preserving cultural heritage. By fostering dialogue, empowering Indigenous voices, and creating new connections between past and present, art can play a vital role in reclaiming and revitalizing cultural traditions.
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