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By:

Prasad Dixit

11 October 2024 at 1:09:23 am

The Human Advantage in an Artificial Age

As artificial intelligence grows smarter and more efficient, the real battle may not be about machines surpassing humanity but about whether humans squander the qualities that still set them apart. With the recent news of a Chinese robot beating the human record in a half- marathon, there is renewed debate on how AI could outsmart human beings. Many experts see it as yet another proof of impending disaster as AI takes over most of the jobs in the years to come. This is not the first time when...

The Human Advantage in an Artificial Age

As artificial intelligence grows smarter and more efficient, the real battle may not be about machines surpassing humanity but about whether humans squander the qualities that still set them apart. With the recent news of a Chinese robot beating the human record in a half- marathon, there is renewed debate on how AI could outsmart human beings. Many experts see it as yet another proof of impending disaster as AI takes over most of the jobs in the years to come. This is not the first time when human civilization is facing a technological revolution that has the potential to impact society and economy in a profound manner. There is, however, a crucial difference with AI driven revolution that is often missed out. The first industrial revolution happened because steam engines were invented and it led to mechanization of production. It was followed by discovery of electrical energy and technologies to harness it for mass production. Next wave of evolution was led by computerization and automation in practically all the fields covering both offices and industrial shop floors through mainframes, personal computers, and programmable logic controllers. While all these leaps in technologies are very different in terms of the specific underlying inventions, they all have one thing in common. They were all invented to do things that were humanly impossible to do. One steam engine or electric motor could do the work that perhaps hundreds of humans would never be able to accomplish even with their collective muscle power. Automation of the manufacturing assembly line would deliver speed and accuracy that human beings would never be able to achieve. Beyond Human Technological advances in Telecommunication, for that matter, have simply expanded the range of 'hearing' and 'seeing' far beyond what human vocal chords, ears, and eyes could manage to do on their own. Computers, at its core, are essentially doing the math and calculations at a speed and accuracy that the human brain can never achieve. To add to that, machines using all these innovations in technology would work tirelessly without any fatigue for a duration that human beings would never be able to match. Although AI is yet another highly potent technological innovation, it is not as straightforward as the previous ones. It can absorb and synthesize huge amounts of data that the human brain perhaps cannot do. Ability of AI to answer any question reasonably well using all the global knowledge made available to it, summarize enormous amount of data and text quickly, quickly draw a complex picture based on instructions given verbally, predict a trend, recognize and highlight a specific face in a fraction of a second from millions of faces, write code based on simple English instructions, are all examples where the speed and accuracy of underlying computation is delivering what human being cannot match. However, there are several areas where human beings are trying to improve AI so that it can, some day, match or exceed capability that human beings themselves already have. Examples of this include the ability of AI to completely replace a human driver safely in all situations, understand full context or an intent behind a statement, carry out complex and well-coordinated mechanical activity in response to various unpredictable situations, react appropriately by correctly assessing the emotions at play, integrate generated code appropriately in the existing larger systems landscape, and so on. In such cases, AI is not exhibiting any capability that is humanly impossible to match. On the contrary, AI is trying to catch up with what humans can do easily. In other words, in these areas, AI is trying to become what humans already are. This very aspect separates AI driven technology revolution from all the previous ones. Direct Competition It is often said that AI and humans will co-exist in the future, and people will need to change their ways of working. It is obvious that AI is also going to directly compete with humans in many sectors. Equipment with an embedded chip on-board do compete with humans even today. A case in point is household equipment such as ‘intelligent’ washing machines and dish-washers where robots to do vacuum cleaning and floor mopping do compete with humans offering these services. A human household help can perform these activities far better than what a machine can do. However, given an affordable choice, an increasing number of households prefer machines over human maid services for a reason. Human household help may not always be punctual, sincere, honest, and reliable. But machines are. Uncontrolled emotions, anger, frustration, laziness, indiscipline, absenteeism do affect humans - but not AI driven machines (at least till the time AI itself acquires emotions of its own, and becomes self-aware some day). This aspect of comparison between AI and humans is likely to become far more prominent and consequential as AI driven machines and robots become more and more intelligent and thereby start competing far more effectively with human capability in many spheres. Competition is said to bring about improvement. Just as AI improves itself through continuous learning to mimic human behaviour and actions, human workforce also needs to improve itself by avoiding behavioural issues and inefficiencies referred to above. Otherwise, humans would lose the natural advantage that they still enjoy over AI, and which is likely to continue even in the foreseeable future. Employers or consumers in the labour-intensive service sector will accept AI driven machines and robots with all its known limitations if it turns out to be a better net-net deal in comparison to services offered by humans. This specific aspect has tremendous significance for India. Many Countries from the developed world do not have a young population with reasonably good IQ in required numbers. India, on the other hand, has it in abundance. One could compare it with abundant availability of Thorium or Sunlight in India as compared to the Western world. Consequently, unlike many Countries in the world that have a Uranium centric approach towards nuclear energy, India's approach needs to be centered around Thorium. India's strategy related to renewable, non-conventional, green energy needs to be based on solar power. Indian Context Strategies for adopting AI in the Indian context need to be similarly tailored for the Indian context. India needs to adopt AI in the areas where it clearly has an advantage over humans in terms of speed, throughput, ease of use, accuracy, and efficiency. However, the use of AI needs to be judiciously controlled in areas where AI is trying to catch up with the capabilities of the human mind and body. Several labour-intensive services such as drivers, caregivers for the elderly people, parcel delivery, security guards, maintenance and repair of various equipment, are all examples in that category. Educational policies and overall work culture in the Country needs to appreciate this reality. Just as AI experts are trying hard to 'teach' AI algorithms and improve them through supervised learning, another set of experts need to sensitize and teach humans on how to understand, appreciate, preserve, and further hone the significant natural advantage that they already have over AI. Despite all the technological breakthroughs in AI, in many areas, still, it is a battle that humans will lose only if they choose to. (The writer works in the Information Technology sector. Views personal.)

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.)

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