Artificial intelligence (AI) is not just a buzzword; it is the cornerstone of a technological revolution that touches every facet of our lives. From the simplicity of internet searches to the complex queries of scientific research, AI has seamlessly woven itself into the fabric of what we do daily. As machines evolve to replicate human-like reasoning, the necessity of AI in our daily tasks becomes apparent. It doesn’t merely accelerate human labor; it enhances our capabilities, making us more efficient and effective in various endeavors.
The framework of AI is designed to mimic human cognitive functions, with machine learning at its core. This powerful tool not only assists in data analysis but also acts as a ‘force multiplier,’ pushing human intellect into challenging new territories. In today’s research and scholarly communication landscape, AI takes on a dual role—as a revolutionary catalyst for discoveries and a potential risk to ethical standards, especially in context with developing countries like Bangladesh.
The realm of research is currently witnessing a transformation likened to the impact of the printing press or the internet. Generative models and expansive language models, such as ChatGPT and Google Gemini, have become significant resources in various academic fields. By 2025, projections suggest that over 60% of researchers globally will be utilizing AI tools regularly, a substantial increase from 45% the previous year. This shift is driven by the pressing need for efficiency amidst an overwhelming information landscape that doubles at an alarming rate, making traditional navigation almost impossible without assistance.
Modern researchers benefit from an array of AI tools that redefine academic workflows. For instance, ChatGPT assists with creative ideation and drafting, simplifying the translation of intricate theories into accessible language. Google Gemini offers unparalleled access to real-time datasets, essential for acquiring the latest statistics, while Claude has emerged as a popular choice for generating eloquent summaries that reflect human-like expression.
As literature reviews become increasingly crucial, platforms like Elicit and Semantic Scholar leverage AI to unveil connections among millions of academic papers, ensuring that key works are not overlooked. Tools like Perplexity serve as efficient search engines, complete with citation capabilities, while NotebookLM produces automated notes from uploaded documents, streamlining the research process. Innovations like AlphaFold have fundamentally altered biology by elucidating the 3D structures of proteins, transitioning what was once understood through trial-and-error into precise engineering.
For researchers in developing nations, including Bangladesh, AI has evolved into an invaluable co-author. Historically, high-quality research often faced rejection from international journals, primarily due to language barriers rather than scientific merit. AI has become a bridge, enhancing research quality and allowing scholars to compete on a more equitable platform.
Beyond linguistics, AI excels in pattern recognition within chaotic datasets, identifying astronomical phenomena and predicting public health outbreaks. By 2026, the integration of AI and machine learning is expected to initiate a shift from experimental stages to becoming the backbone of computational biology, where innovation transforms algorithms into solutions for complex drug design and tailored medical treatments.
The current public health strategy emphasizes ‘predict and prevent’, utilizing electronic health records and social media to anticipate outbreaks. The WHO’s EIOS system exemplifies the power of machine learning by offering real-time health risk assessments, while AI diagnostic tools in regions like East Africa deliver over 90% accuracy, potentially saving lives where human response is delayed. Yet, the rapid advancement of AI comes with notable challenges; ‘hallucination,’ or the generation of incorrect information, can mislead researchers if not appropriately validated.
Another significant concern is the emergence of ‘paper mills’—fraudulent operations that produce and sell bogus research papers, undermining the integrity of scientific publishing. The peer-review process is also at risk, as many reviewers are now using AI to generate reports, which jeopardizes the principle of merit-based validation and may exacerbate elitism in academia.
For Bangladesh, AI presents both an opportunity and a challenge. While it compensates for limited laboratory resources and data analysis capabilities, it also highlights the ‘digital divide’. Institutions in developed countries have access to superior tools, while many universities in Bangladesh lack similar resources. Moreover, a growing trend of ‘cognitive offloading’ among students—relying excessively on AI for critical thinking—could diminish essential analytical skills.
A proactive national strategy is essential to harness AI responsibly. Each research publication should clarify the extent of AI usage, emphasizing the need for human oversight to ensure factual accuracy. Recent allegations of plagiarism among Bangladeshi scholars leading to paper retractions underline the urgency of establishing accountability within academic institutions, necessitating a zero-tolerance policy against unethical practices. Introducing ‘AI ethics’ into educational curricula could foster awareness of both the potential benefits and pitfalls of technology.
The integration of AI in research signifies a permanent evolution rather than a fleeting trend, with profound implications for solving complex global challenges. This collaboration is not about pitting human intelligence against machines, but rather about creating a harmonious relationship where both coexist in synergy. The current exploration of the human connectome may one day lead to a form of artificial intelligence that achieves real intelligence, catalyzing a paradigm shift in our civilization. Striking the appropriate balance will ensure that human judgment and wisdom remain the ultimate safeguards as we navigate this technological landscape.
Professor Tofazzal Islam is dean of graduate studies and the founding director of and teacher at the Institute of Biotechnology and Genetic Engineering of Gazipur Agricultural University.
