English articles

Reporting and analysis from the Taiwan edition

English translations follow the source article's publication status, date, author identity, featured status and cover image. Entries still awaiting translation remain linked to the original Traditional Chinese article.

397 of 574 published articles currently have a complete, current English translation.

Author-specified image: a woman in traditional attire writing and organizing notes indoors, symbolizing knowledge recording, teaching, and cultural transmission.

Indigenous Traditional Medicine / Health Knowledge SovereigntyFeaturedAI-assisted

Grandmother's Medicine Cabinet and the Algorithmic Doctor: Who Truly Understands Healing?

AI healthcare often centers on efficiency, prediction, and diagnostic accuracy. Yet many Indigenous healing traditions attend not only to disease names but also about balance among people, land, seasons, family, emotions, and spiritual order. When traditional medicine is digitized and modeled, the greatest risk is not rapid technological progress but the fragmentation of healing contexts. This article begins with grandmother's medicine cabinet to remind us that in the AI era we must rethink health knowledge sovereignty.

林秀妹2026-06-04

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Students learning amid books, notes, computers, and mobile short videos, symbolizing the tension between attention, AI summaries, and deep reading.

Education & Media CommentaryFeaturedAI-assisted

The Fast-Food Shop of Knowledge in the Age of Short Videos: Is Education Training Thought or Scrolling?

Short videos and AI summaries are changing how we access knowledge. Students can get key points faster, but they also outsource understanding to algorithms more easily. The issue isn't whether young people scroll phones—it's whether education has become merely absorbing information without training judgment, questioning, and tracing sources.

Yuan Media AI Editorial Desk2026-06-04

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Editorial team discussing public knowledge and media literacy in front of news data and AI visualisation interfaces

AI Public Methods / Media LiteracyFeaturedAI-assisted

When Everyone Is Chasing AI, the Public Needs a Way to Understand the World

While everyone chases models, tools and rankings, what people truly need is not another magical button but a reading method that can make sense of how the world is being rewritten by AI.

Yuan Media AI Editorial Desk2026-06-03

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Residents of different generations dancing together in a community square, with neighbors watching nearby.

Local Culture / Community ActionFeaturedAI-assisted

What Can a Dance Troupe Change? Seeing Real Community Cohesion in Local Steps

A dance troupe may seem to be only rehearsals and performances, but it can bring the community back together and help different generations rediscover reasons for living together through bodily rhythms.

李雪華2026-06-03

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Local residents and governance workers discussing river valley and road risks beside mountain roads with maps

Mountain Governance / Public PolicyFeaturedAI-assisted

The Real Challenge of Mountain Governance Is Not Remoteness, but Our Reliance on Plains Logic

The difficulties of mountain governance are not just about distance; institutions often impose plains-based assumptions about time, transport, administration and risk onto mountain areas, making policies appear complete yet hard to implement.

廖福德2026-06-03

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Outdoor plant education scene; students observe green plants with notebooks and magnifying glasses

Plant Knowledge / Nature EducationFeaturedAI-assisted

莊溪 | It's Not Just About Memorizing Plant Names: How Do We Really Relearn 'Knowing Plants'?

Knowing plants is not just about memorizing Latin names or uses, but learning to see seasons, terrain, care methods, Indigenous language naming, and the relationships between people and their environment.

莊溪2026-06-03

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Education Technology / AI Applications / Higher EducationFeaturedAI-assisted

AI Universities Are Here: Future Professors Won't Be Replaced, They'll Be Forced to Redefine Themselves

Generative AI is moving from a writing assistant to agentic AI, now participating in course design, learning diagnostics, administrative services, and research support. The real challenge for universities isn't whether students will cheat with AI, but whether higher education can still prove its knowledge value.

全明正2026.06.02

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Fashion / Jewelry Design / Luxury TrendsFeaturedAI-assisted

Diamonds Are No Longer Just Rings: Jewelry Trends in 2026 Are Moving Toward Bolder Brilliance

Jewelry trends in 2026 are no longer just low-key, minimalist and everyday wear; they are shifting toward sculptural forms, colored gemstones, mixed metals, large diamonds, personalized symbols and high-visibility styles.

戴美伶2026.06.02

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AI Trends / Technology Civilization / Taiwan IndustryFeaturedAI-assisted

Taiwan Takes Center Stage in the Global AI World: From Chip Island to a Laboratory for Smart Civilization

Taiwan has once again taken center stage on the global technology map, this time not just as a semiconductor hub but as a key node in the worldwide AI infrastructure. The real challenge is whether Taiwan can transform its industrial advantage into civilizational capacity across education, culture, healthcare, public governance and social innovation.

王振庭2026.06.02

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Ecology / Knowledge Systems / Climate ChangeFeaturedAI-assisted

Two-Eyed Seeing: When Science Meets Local Knowledge, Climate Crisis Finds New Answers

Climate change is not a problem that can be solved by data models alone. From forests to oceans and agriculture to disaster governance, science needs local experience, and local knowledge must dialogue with modern research.

Yuan Media AI Editorial Desk2026.06.02

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Taipei cityscape with data center servers and chip manufacturing imagery overlaid, symbolizing Taiwan's central position in the AI supply chain and its infrastructure costs.

AI Infrastructure / Public Knowledge CommentaryFeaturedAI-assisted

Taiwan Is the Heart of AI Chips—Now What? The Model Economy Cannot Be Reduced to Electricity Bills and Applause

AI infrastructure is pushing Taiwan to the center of global tech narratives. This is certainly an opportunity, but if public discourse stops at stock prices, supply chains, and big-company glitz, it will miss sharper questions: where does the electricity come from? Is education and public knowledge keeping pace?

Aciang Iku-Silan2026-06-01

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Portrait scene with digital fragments and multiple faces, symbolizing AI's stereotyping, appropriation, and reproduction ethics of Indigenous peoples.

AI Image Ethics · Media CriticismFeaturedAI-assisted

AI Image Ethics: Stop Giving Every Indigenous Person Feathers, Totems, and Mystical Smoke

Generative imagery lets anyone create Indigenous-style posters, videos, and character designs in seconds; the problem is that most models stop at feathers, animal skins, totems, campfires, mystical smoke, and cinematic stereotypes.

玄岸2026-06-01

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Community elders and younger generations organizing cultural data, the tree of traditional knowledge connecting to a digital server and interface on the right.

Cultural Data Sovereignty · AI EthicsFeaturedAI-assisted

Before Turning Ancestors into a Database, Ask: Who Has the Right to Press Enter?

When governments, schools and tech teams excitedly say they want to digitize Indigenous traditional knowledge, the real question is not how many PDFs to scan or Chatbots to build, but who decides which knowledge can be seen, searched, trained on and commercialized.

Aciang Iku-Silan2026-06-01

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An elder and a young person reading notes together in a traditional craft space while operating a tablet, symbolizing co-learning of different knowledge systems.

Two-Eyed Seeing · Education CommentaryFeaturedAI-assisted

Seeing the World with Two Eyes Does Not Mean Turning One Eye into an AI Lens

Two-Eyed Seeing is not about putting Indigenous stories into science classes as warm-ups or feeding elder interviews to models to generate pretty PPTs. It requires students to simultaneously understand experiments, classifications, observations, ethics, relationships, and land experiences.

Aciang Iku-Silan2026-06-01

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A young woman stands amid layered digital face collages and algorithmic visual interfaces, symbolizing the amplifying effect of AI image generation on stereotypes, identity misreading, and bias replication.

Media and AI EthicsFeaturedAI-assisted

What AI Generates Best May Be Stereotypes

Generative AI democratizes image creation, but also democratizes bias. When models learn from existing online images, they simultaneously absorb historical biases, cultural misunderstandings, and stereotypes.

懸案2026-05-31

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Nighttime high-voltage substation, transmission towers, steam and distant data centers juxtaposed, presenting the power consumption, grid, and infrastructure pressure behind the AI boom.

Artificial IntelligenceFeaturedAI-assisted

Models Can Talk While Substations Gasp: The Invisible Infrastructure Crisis Behind the AI Boom

Discussions of generative AI tend to focus on model capabilities, corporate competition, and product innovation. But what truly determines whether the AI industry can continue to expand is not algorithms but power, cooling systems, land, and capital. AI is not just a software revolution; it is a hardware and infrastructure revolution.

Yuan Media AI Editorial Desk2026-05-31

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A wooden door leading to a cultural archive space, with digital permission interfaces and gesture-sensing projections placed side by side, symbolizing that consent must be obtained before using cultural data.

Cultural Data SovereigntyFeaturedAI-assisted

Cultural Data Is Not a Free Stockpile: AI Must Learn to Knock First

AI needs data, but cultural data is not ownerless material. Once languages, stories, place names, ecological knowledge and historical memory enter the digital environment, who may collect, train models on them and exploit them commercially has become an important public issue in the age of AI.

山海資料庫筆記2026-05-31

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An elder and a young learner observing plants together by a stream and forest, reading notes and using a tablet, symbolizing the co-learning and coexistence of Two-Eyed Seeing.

Two-Eyed SeeingFeaturedAI-assisted

The Greatest Misunderstanding of Two-Eyed Seeing: Not Compromise, but Coexistence

Many people understand Two-Eyed Seeing as traditional knowledge plus science. This sounds understandable, yet it misses its true spirit. Two-Eyed Seeing is not a compromise; it is a practice that acknowledges the coexistence of multiple knowledge systems.

Two-Eyed Seeing Lab2026-05-31

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AI ImageFeaturedAI-assisted

Labels for the AI Image Journal: Bringing Generated Images Back into a Context Open to Scrutiny

This article proposes Yuan Media AI's disclosure label system, arguing that generated images should not merely pursue visual effects but establish traceable mechanisms for source, purpose, human review, and cultural constraints.

玄岸2026-05-14

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Editorial OpinionFeaturedAI-assisted

When AI Enters Indigenous Traditional Knowledge: From Images, Data to Cultural Sovereignty

This article examines AI images, data governance and traditional knowledge sovereignty, proposing that Indigenous Peoples' AI systems should not merely display culture but establish a traceable, rejectable and authorized knowledge governance framework.

全明正2026-05-14

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Indigenous Traditional MedicineFeaturedAI-assisted

How Traditional Medicine Databases Can Prevent Cultural Knowledge from Becoming Flat Indexes

This article proposes a four-layer design for traditional medicine databases: cultural context, purpose classification, care settings, and data boundaries, to avoid misrepresenting Indigenous traditional medical knowledge as simplified efficacy indexes.

Aciang Iku-Silan | University Professor2026-05-14

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Two-Eyed SeeingFeaturedAI-assisted

Two-Eyed Seeing: Not Compromise, but Making Both Ways of Knowing Visible

This article uses education, AI, research, and public policy as contexts to explain that Two-Eyed Seeing is not a compromise slogan, but a higher-order methodology that allows Indigenous traditional knowledge and Western science each to retain their integrity.

Yuan Media AI Editorial Desk2026-05-14

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