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“Digital Matchmaking” in the Age of AI
One of the most thought-provoking ideas discussed in Tech On Air’s Digital Love and the Relationship Deadlock, featuring journalist and author Şebnem Burcuoğlu, was the concept of an “AI blind date.” Burcuoğlu described this emerging model of meeting people with a particularly fitting phrase: “digital matchmaking,” or, more literally, a digital version of the traditional Turkish practice of introducing two people believed to be a suitable match. In traditional matchmaking, fa
Esra OBUT
2 days ago4 min read


Has the Access Problem Been Solved? Teachers and AI’s Invisible Threshold
When we talk about what artificial intelligence might bring to education, we often assume that teachers and students already have access to these tools. We tend to think that anyone with an internet connection and a computer or smartphone is starting from the same place. Yet having access to a technology is not the same as being able to benefit from it. At its most basic, the digital divide refers to inequalities in people’s ability to access digital technologies, use them an
Esra OBUT
5 days ago8 min read


What Should Young People Aged 12–18 Learn About Artificial Intelligence?
They should learn not only how to use AI, but also when and how to use it—and how to manage their own thinking and learning while working with it. Artificial intelligence is already changing the way young people learn. It can explain a subject, answer questions, suggest ideas, edit texts and produce a polished assignment within seconds. All of this offers opportunities to make learning easier. But it also raises an important question: When a task is complete, has the young pe
Esra OBUT
Aug 76 min read


How Should We Explain Artificial Intelligence to Children Aged 8–11?
We need to teach children not only how to use AI, but also how to understand and question it—and how to preserve their own thinking while working with it. Children encounter artificial intelligence much earlier than we might think. AI systems may be at work when videos are recommended to them, search results are ranked, photographs are altered, the difficulty level of games is adjusted, and educational apps assess their performance. With the spread of generative AI tools, the
Esra OBUT
Aug 515 min read


How Do You Explain Artificial Intelligence to a Child Aged 4–7?
You do not need to hand a chatbot to a four- to seven-year-old child to teach them about artificial intelligence. In fact, at this age, the best place to begin is often away from a screen. Children do not yet need to understand concepts such as “algorithms,” “data,” or “machine learning.” It is far more valuable for them to learn to recognize a pattern, predict what might come next, compare two possibilities, understand that an answer can be wrong, and ask, “How do we know th
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Aug 58 min read


Who Protects a Book’s Voice? Literary Translation and the Limits of AI
Monika Kim’s novel The Eyes Are the Best Part opens with the sentence, “Umma tells me that the eyes are the best part.” When translating the novel into Turkish, I rendered this as, “Umma, bana gözlerinin en güzel yeri olduğunu söyler.” At first glance, translating “Umma” as annem, or “my mother,” might have seemed like the most natural choice. The Korean word means mother and its Turkish equivalent was clear. Yet on the same page, only a few sentences apart, the same woman wa
Esra OBUT
Jul 1911 min read


Artificial Intelligence, Law, and the Human: What the European AI Act Tells Us
The European AI Act is the first comprehensive legal framework adopted by the European Union to regulate artificial intelligence systems. Officially known as Regulation (EU) 2024/1689, the Act was adopted on 13 June 2024, published in the Official Journal of the European Union on 12 July 2024, and entered into force on 1 August 2024. Its provisions will apply gradually, with most of the Act becoming fully applicable as of 2 August 2026. This law is not a flawless text that an
Esra OBUT
Jun 2213 min read


The Human Layer of Artificial Intelligence
In recent years, I have worked on international platforms such as Outlier, Invisible, and micro1. These companies rely on human expertise to improve artificial intelligence models and work with specialists from different fields around the world on a project basis. On these platforms, I took on three different roles. As a tasker, I produced the texts that AI models needed. As an evaluator, I assessed the generated content in terms of linguistic accuracy, contextual fit, and cu
Esra OBUT
Jun 187 min read


The Value of Art in the Age of Artificial Intelligence: Product or Experience?
Around two and a half thousand years ago, Plato described humans' tendency to mistake shadows for reality in his allegory of the cave. Today, the shadows on the cave wall have been replaced by screens. We live amid social media feeds, algorithms, artificial intelligence tools, and endlessly multiplying digital content. We are closer to information than ever before; yet perhaps for the first time, our relationship with reality has become this complicated. And this complexity i
Esra OBUT
Jun 1811 min read
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