top of page

By:

Akhilesh Sinha

25 June 2025 at 2:53:54 pm

Code for the Many

India wants artificial intelligence to serve development rather than deepen divides Prime Minister Narendra Modi during a meeting with his Bhutanese counterpart Tshering Tobgay in New Delhi. New Delhi:  As the IndiaAI Impact Summit 2026 enters its third day, India appears to be pressing a case that cuts against the grain of much global AI discourse. The summit has been framed by the Sanskrit maxim  sarvajan hitaya, sarvajan sukhaya  (for the welfare and happiness of all) and seeks to move the...

Code for the Many

India wants artificial intelligence to serve development rather than deepen divides Prime Minister Narendra Modi during a meeting with his Bhutanese counterpart Tshering Tobgay in New Delhi. New Delhi:  As the IndiaAI Impact Summit 2026 enters its third day, India appears to be pressing a case that cuts against the grain of much global AI discourse. The summit has been framed by the Sanskrit maxim  sarvajan hitaya, sarvajan sukhaya  (for the welfare and happiness of all) and seeks to move the debate beyond safety alarms and corporate rivalry towards a more pointed question: who, exactly, should benefit from artificial intelligence. Building on its advocacy in 2023 for fairer digital and financial access for the Global South, India is now positioning itself as a steward of a more democratic, human-centric AI that is meant to narrow, rather than entrench, global and domestic inequalities. That ambition builds on India’s posture at earlier global forums. In 2023, New Delhi argued that digital public infrastructure and concessional financing should be treated as global public goods, particularly for poorer nations. Three years on, the argument has sharpened. If AI is to shape growth, productivity and governance in the coming decades, India insists that its benefits must not mirror the inequalities of the industrial and digital revolutions before it. This sets India apart from the dominant poles of AI power. The United States and China have raced ahead with proprietary models and compute-heavy ecosystems. India, lacking the same scale of capital or chips, has instead emphasised deployment by asking how AI can be applied cheaply, widely and with human oversight. As Prime Minister Narendra Modi has often argued, AI is a double-edged tool: transformative when governed well, corrosive when left to markets alone. Stark Contrast The contrast with earlier summits is deliberate. Britain’s 2023 meeting at Bletchley Park fixated on catastrophic risks and frontier safety. South Korea’s Seoul summit in 2024 focused on scientific cooperation to mitigate harm. France’s Paris meeting in 2025 tried to tether AI to sustainability and public interest. India’s turn is broader and more political. The question it poses is not merely how to restrain AI, but how to distribute it. At the heart of the summit is an effort to make AI legible to ordinary citizens. Demonstrations are expected on its use in schools, hospitals, farms and welfare schemes, with particular emphasis on small towns and rural areas. The aim is to narrow what Indian officials increasingly describe as an “AI divide” between those who can exploit algorithms and those who remain invisible to them. The economic case is straightforward. AI-driven tools can raise productivity by automating routine work, improve hiring by reducing bias, and conserve energy through smarter consumption. In education, adaptive learning systems promise to personalise instruction in overcrowded classrooms. In agriculture, predictive models can guide farmers on soil health, pests and weather, lifting incomes while improving food security. In healthcare, AI-assisted diagnostics, from cancer detection in scans to remote patient monitoring, could compensate for India’s chronic shortage of doctors, especially outside cities. One of the summit’s most politically charged themes is road safety. India records between four and five lakh road accidents a year. According to figures cited in Parliament by Nitin Gadkari, 2024 alone saw 1.77 lakh fatalities, a third of them on national highways that make up just 2% of the road network. Officials argue that AI - through speed monitoring, pre-collision alerts and predictive traffic management - could dramatically cut deaths and emissions alike. Panels on data-driven transport policy will test how far such optimism can be translated into enforcement. Critics note that India still struggles with patchy data quality, weak local capacity and uneven internet access. Grand visions, they warn, risk dissolving into pilot projects. Yet that is precisely why New Delhi is pressing its case internationally. By pooling models, datasets and best practices, especially among countries of the Global South, it hopes to reduce costs and avoid dependence on a handful of foreign platforms. If successful, the IndiaAI Impact Summit will mark a shift in the global AI conversation. From fear to function; from concentration to diffusion. India is betting that the future of artificial intelligence will not be decided solely in data centres and boardrooms, but in classrooms, clinics, fields and highways. Whether the world follows is another matter. But New Delhi has made clear where it wants the argument to go.

AI in Sperm Sorting: An Unbiased Decision for A Better Outcome

Artificial Intelligence or AI is revolutionising fertility treatments of the future. The inclusion of AI enhances the accuracy, efficiency, and objectivity of sperm selection, hence potentially improving fertility outcomes by leaps and bounds. Traditionally, sperm sorting through manual methods is subjective to judgments. Processes like centrifugation and swim-up methods are used to separate sperm based on motility and morphology. Although they are effective, they have their limitations, leading to human errors that affect the success rates of fertility treatment. For instance, studies have shown that traditional sperm sorting techniques can have variability in success rates, with reported live birth rates ranging between 15 per cent to 25 per cent per cycle depending on the method and quality of sperm. Hence the introduction of AI helps in maintaining consistency in evaluations of sperm, using the same data set for every sample which leads to better judgments.


Automation and Standardisation- Automation of sperm selection and also introduction of AI in the process have improved the results in ART. AI-assisted sperm selection improves the accuracy in choosing high-quality sperm for fertilisation purposes, and also, pregnancy and live birth rates might be improved. Technologies like Intracytoplasmic Morphologically Selected Sperm Injection along with AI ensure the chances of pregnancies increase by about 10-20 per cent compared to the standard procedures. AI and Automation will decrease time taken to analyze sperm and increase opportunities to select better sperm with DNA integrity for better development and higher success rates in embryo selection. These processes ensure that the sperm selection process follows consistent criteria, reducing variability in outcomes caused by human error.


Analysing Complex Data for Better Outcomes- AI plays a crucial in improving IVF outcomes by analysing complex data and providing tailored recommendations. AI-driven tools and models such as those on SpOvum.ai point towards an opportunity to optimise ovarian stimulation decisions by assessing patient characteristics and follicle growth patterns. A study revealed that the use of AI in IVF improved egg yield and reduced medication costs. AI enables fertility specialists to make data-driven choices, improving overall IVF success rates and streamlining treatment processes.


Reducing Human Error- AI models can continuously learn and refine their performance by being trained on newer data. This adaptability ensures the technology remains unbiased and up-to-date with the latest scientific insights into sperm quality and fertility success rates. Studies have shown that AI-driven sperm sorting can decrease human-related errors by up to 25 per cent, improving sperm selection quality in terms of morphology and motility.


Reduction of Sperm Damage- The new AI-driven sperm sorting techniques also include microfluidic systems that are known to exhibit several advantages over the most commonly used conventional method, which is centrifugation. Traditional centrifugation methods, such as density gradient centrifugation, also cause severe oxidative stress and DNA fragmentation of the sperm because of the very high mechanical forces involved. The AI-infused microfluidic sorting minimises this damage significantly by involving gentler processes that mimic the natural pathway of sperm selection. The studies show that the process of microfluidic sorting decreases DNA fragmentation in sperm, which gives improved opportunities for success for IVF. For example, DNA fragmentation is 20 percent lower in sperm sorted using microfluidic processes than in traditional processing methods.


AI is bound to play an increasingly definitive role in fertility treatments, which will improve the outcomes for couples experiencing infertility.


(The author is a Co-Founder & CEO at SpOvum® Technologies. Views personal.)

Comments

bottom of page