[🇧🇩] Artificial Intelligence-----It's challenges and Prospects in Bangladesh

[Saif]

How AI became an authority in our classrooms

As AI rapidly enters education, it risks shifting from a supportive tool to an unquestioned classroom authority.

www.thedailystar.net

How AI became an authority in our classrooms

Shamresh Saha

A few months ago, something small happened at home that stayed with me.

My young son had recently discovered what he calls “Gemini Aunty” on my phone. One morning, when neither my wife nor I could persuade him to wake up for school, I tried something different. I asked the AI to speak to him.

A calm voice responded in Bangla, gently telling him that good children wake up on time and prepare for school.

He listened immediately.

What struck me was not just that it worked, but how quickly authority shifted. A child who resisted his parents responded to a machine without hesitation.

That moment raised a question that extends far beyond the home: when AI speaks, what makes us listen?

Across classrooms in Bangladesh, AI is already becoming part of everyday educational practice. Teachers are using it to prepare lessons, generate materials, and manage workloads more efficiently. For many, it is proving to be a valuable support.

But alongside this growing use, a quieter pattern is also emerging.

In Bangladesh, discussions around AI in education often focus on access and adoption. But readiness is not only about whether tools are available. It is about whether educators and institutions are prepared to engage with these tools critically and contextually.

Some educators engage with AI thoughtfully. They adapt its outputs, question its suggestions, and reshape it according to their students’ needs. For them, AI becomes a starting point for thinking.

Others use it differently. Content is generated and used with minimal reflection, treated as ready-made answers rather than something to be examined or questioned. In these cases, AI begins to take on a different role, not just as a tool, but as a source of authority.

This distinction matters.

AI does not simply provide information. It presents it in ways that feel immediate, fluent, and convincing. Its responses often sound complete, even when they are partial or contextually limited. This can create a subtle shift in how knowledge is received. Instead of asking whether something is accurate or appropriate, we may begin by assuming that it is.

In conversations with educators across Bangladesh, this shift is becoming visible. Some teachers describe AI as an essential support that enhances their work. Others express concern that it is increasingly being treated as a “magic solution,” producing answers without requiring much interpretation or adaptation.

This raises a deeper question about readiness.

In Bangladesh, discussions around AI in education often focus on access and adoption. But readiness is not only about whether tools are available. It is about whether educators and institutions are prepared to engage with these tools critically and contextually.

Without that readiness, AI risks being used in ways that reduce professional judgment rather than strengthen it. Lessons may become less responsive to local contexts. Students may rely on answers without questioning how they were generated. Over time, this can shape how learning itself is experienced.

At the same time, avoiding AI is not a realistic option. It is already embedded in how information is accessed and shared.

The challenge, then, is not whether AI should be present in education, but how it is approached.

AI can support teaching and learning in meaningful ways. It can reduce administrative burdens, provide new resources, and open new avenues for exploring ideas. But this potential depends on how it is used.

Visual: Star

It requires seeing AI not as an unquestioned authority, but as something to be engaged with. It requires asking where its responses come from, what they leave out, and how they apply to specific contexts. It also requires maintaining the habit of questioning, even when answers are readily available.

This places responsibility not only on individual teachers, but on the system as a whole. Educators need opportunities to build the skills required to work with AI thoughtfully. Institutions need to create space for reflection, not just adoption. And policy conversations need to move beyond whether AI should be used, towards how it shapes thinking and learning.

AI is already speaking in our classrooms, our homes, and our daily work.

The real question is whether we are still thinking.

Shamresh Saha is a senior manager at the British Council. This article was developed through the #NextGenEdu Learning Cohort, a platform for reflection and dialogue on AI and education in Bangladesh.​

 

[Saif]

AI for an efficient supply chain

In the realm of modern agricultural management, the role of a robust and efficiently managed supply chain in maintaining price stability cannot be overstated. From ensuring the timely movement of goods to prevent hoarding and market manipulation, an effective supply chain serves as the backbone of

thefinancialexpress.com.bd

AI for an efficient supply chain

FE

Published :
Jun 07, 2026 23:03
Updated :
Jun 07, 2026 23:03

In the realm of modern agricultural management, the role of a robust and efficiently managed supply chain in maintaining price stability cannot be overstated. From ensuring the timely movement of goods to prevent hoarding and market manipulation, an effective supply chain serves as the backbone of a well-functioning market. As seen in developed countries, well-integrated supply chains enable agricultural products to move directly from farms to consumers, improving market efficiency while ensuring fair prices for both producers and buyers. In Bangladesh, however, such an integrated system remains largely absent. Given the highly perishable nature of agricultural produce, inadequate storage, logistics and technological infrastructure continue to impede a smooth flow of goods from farms to markets. The resulting inefficiencies not only increase post-harvest losses but also widen the gap between farm-gate and retail prices. Dominance of multiple layers of intermediaries further compounds the problem, often depriving farmers of fair prices while forcing consumers to pay inflated prices.

Against this backdrop, the government's recent proposal to deploy an artificial intelligence (AI)-driven system to monitor supply chains and narrow the gap between farmers and consumers raises cautious optimism. The ambition to embrace data-driven policymaking is welcome. However, AI must not be viewed as a panacea for the structural weaknesses that afflict the supply chain. As per the proposal drafted by the Trading Corporation of Bangladesh (TCB), a digital platform will be created to integrate data from multiple government agencies, markets, logistics providers, warehouses, meteorological office and international commodity indices. By analysing this vast pool of information, the AI system would forecast prices, identify supply disruptions, detect abnormal market behaviour and facilitate more informed policy decisions.

The proposal's emphasis on connecting farmers directly with wholesalers, retailers, e-commerce platforms and government procurement systems is particularly noteworthy. Reducing unnecessary layers of intermediaries could increase farmers' incomes while lowering costs for consumers. An AI-powered monitoring mechanism could also strengthen the government's capacity to respond proactively to market disruptions. Early warning signals would enable the government to make timely decisions on imports, stock management, open-market sales and targeted subsidies. At the same time, the system could help identify unusual price instability arising from hoarding, supply manipulation or artificial market distortions.

However, technology alone cannot solve governance failure or infrastructure challenges. No matter how sophisticated, AI cannot by itself overcome the structural weaknesses that continue to plague the supply chains. For this initiative to succeed, substantial investment will be needed to develop cold-storage facilities across major agricultural hubs and improve transportation networks. Stronger market oversight will also be essential to curb the dominance of syndicates, hoarding and rent-seeking along transport routes. AI can identify where the supply chain is bleeding, but it cannot heal the wound on its own. Overcoming these challenges will ultimately require human intervention and political will. At the same time, the limitations of AI must not be overlooked. Algorithms can produce flawed analyses and inaccurate forecasts. The most effective approach, therefore, would be to combine the speed and analytical power of machines with human judgment and oversight.​

 

[Saif]

Can Bangladesh’s copyright law keep up with AI?

Artificial intelligence is rapidly reshaping the digital world, and Bangladesh is increasingly becoming part of that transformation.

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Can Bangladesh’s copyright law keep up with AI?

Samiul Huq

As generative AI tools are more widely used to create content, a closer inspection of Bangladesh's copyright law has become imperative. FILE PHOTO ILLUSTRATION: REUTERS

Artificial intelligence is rapidly reshaping the digital world, and Bangladesh is increasingly becoming part of that transformation. Generative AI tools such as ChatGPT, Gemini, and Midjourney are now widely used to create written, visual, and software-based content with minimal human involvement. While these technologies offer significant opportunities, they also challenge the traditional foundations of copyright law, which has historically been built to safeguard human labour, creativity, and originality.

Although Bangladesh’s Copyright Act, 2023 modernised several aspects of digital copyright protection, it remains largely silent on the growing problem of AI-generated work and the resulting questions concerning authorship, originality, and accountability.

Modern copyright law is fundamentally built upon the assumption that creative works originate from human intellectual activity. International copyright frameworks such as the Berne Convention for the Protection of Literary and Artistic Works and the TRIPS Agreement implicitly assume the existence of human authorship, without acknowledging mechanical or automated authorship.

J.A.L. Sterling, a significant figure in the advocacy and teaching of copyright law and policy, explained that one of the major philosophical foundations of copyright originates from English philosopher John Locke’s labour theory, wherein individuals acquire property rights over the products created through their own labour, skill, and intellectual effort. Sterling added that copyright law also developed through personality-based theories associated with philosopher Immanuel Kant, where creative works are viewed as extensions of the author’s personality and identity.

AI-generated works destabilise this traditional understanding of “author-work” relationship, according to Paul Goold, because copyright law historically depends upon expressive content being traceable to identifiable human intellectual activity. Goold further argues that modern AI increasingly exposes the conceptual weakness of artificially assigning authorship where meaningful human creativity may not genuinely exist.

Additionally, generative AI creates structural instability within copyright law because machines are now capable of semantic and stylistic imitation at levels previously associated only with human creativity. The concern is therefore no longer limited to copying. AI systems increasingly imitate style, tone, structure, and expressive identity itself.

A recent investigation by fact-checking organisation Dismislab found that two widely used AI models—Gemini and Grok—generated modified NID images using samples and prompts without flagging any concerns about sensitive personal data. In Bangladesh’s current copyright framework, which is still fundamentally designed to assume human authorship and that still struggles to accommodate autonomous AI-generated content, such examples of AI reproducing highly realistic documents should raise concern. In a 2025 paper on the copyright paradigms in the age of AI, the authors observed that concepts such as originality and authorship become increasingly uncertain when expressive works are generated through systems capable of operating with minimal human intellectual contribution.

Therefore, artificial intelligence now requires the law to confront an uncomfortable question: if expressive works can increasingly be generated without meaningful human creativity, what exactly is copyright law protecting anymore?

What Bangladesh needs is not an overly complicated or technologically rigid copyright regime for AI-generated works. Instead, it requires a practical and human-centred framework capable of preserving the connection between copyright and genuine human creativity. Instead of requiring courts or authorities to scientifically determine whether every work is human-created or AI-generated, the law could gradually require creators, publishers, commercial users, or applicants for copyright registration to disclose whether generative AI tools were substantially used in producing the work. The legal focus should then shift towards assessing whether meaningful human intellectual contribution remained dominant in the final output.

Such an approach would also preserve flexibility, as AI technology continues evolving rapidly. Courts could then assess disputes case-by-case by examining factors such as level of human creativity, selection, arrangement, editing, judgment, and intellectual control over the final work rather than attempting to determine whether AI was used at all.

At the same time, Bangladesh should avoid granting full traditional copyright protection to purely autonomous AI-generated outputs where meaningful human creativity is effectively absent. Doing so may gradually weaken the philosophical foundations of copyright law itself by protecting machine-generated production in the same way as human intellectual creativity. Instead, Bangladesh may eventually consider a limited sui generis framework for certain autonomous AI-generated outputs. The term “sui generis” simply means “of its own kind” or a special legal category created outside ordinary copyright law. In intellectual property law, sui generis protection is sometimes used where existing legal categories cannot comfortably address new technological or commercial realities.

Artificial intelligence is forcing copyright law to be reconsidered in terms of the meaning of creativity, originality, and authorship. Bangladesh now has an important opportunity to develop a balanced legal framework that encourages innovation while still preserving the human foundations upon which copyright law has historically depended.

Samiul Huq is a doctoral researcher in law at City St George’s, University of London, UK.​