Synonymous to its name, Artificial Intelligence (AI) has given the power of decision making to machines as they adjust their decisions according to the stored or new inputs and perform human-like tasks that in turn lead us to the numerous Challenges of AI in India and its adoption at a wide scale.
Most of the AI examples that you hear nowadays like chess-playing computers to self-driving cars, all of these rely heavily on deep learning, machine learning as well as natural language processing.
Leveraging these technologies, computers and machines can now be trained to accomplish specific tasks by processing large amounts of data as they recognize specific patterns in the data to make their decisions.
Nevertheless, adopting cutting-edge technology is never smooth sailing especially in a digitally unaware country like India where the majority of digital consumers are new to the digital world and its etiquettes.
This is what the Government of India is most worried about and that is also the root cause of the Challenges of AI in India.
‘Knowing is half the battle and the rest is doing’ as the saying goes, Challenges of AI in India arises due to a wide area of aspects one must consider in an AI solution where several factors come into play including engineering and production specifics like material requirements, infrastructure requirements, capacity planning and costs, along with unique product design.
However, before addressing the key reasons for the Challenges of AI in India, let’s explore some of the background histories of how AI got developed and its progress since then.
Background of Artificial Intelligence
Coined in 1956, the term AI was not as popular since the idea of this technology got developed which is true for its present popularity thanks to the increased data volumes, advanced algorithms, and massive developments in computing power and storage.
Unlike today, early AI research in the 1950s was all about exploring topics like problem-solving and their symbolic methods.
Moving on, in the 1960s, the US Department of Defense recognized the potential of this research and began training computers to mimic basic human reasoning.
Taking an excerpt from the history, the Defense Advanced Research Projects Agency (DARPA) had already completed street mapping projects in the 1970s and also produced intelligent personal assistants in 2003, which is long before Siri, Alexa or Cortana become the household names.
Their early work on AI research further paved the way for the automation and formal reasoning in computers, that can be designed according to people’s specific requirements to complement and augment human abilities.
Challenges of AI in India
Despite possessing the enormous potential of revolutionizing the country’s development, there are significant roadblocks on the way that are hampering a widescale adoption of AI solutions in India.
Banking on this context, some of the biggest Challenges of AI in India are described below,
- Since India possesses a relatively small body of researchers especially in the field of machine learning as compared to other countries, this counts as one of the biggest Challenges of AI in India.
- Continuing with the above-stated point, the percentage of contribution of Indian researchers in top AI conferences constitutes amounts to only one-fifteenth of the U.S. and one-tenth of the contribution of China.
- Due to the extreme lack of digital awareness and hesitancy of Indian youth to enter the new realm of AI, people have little local expertise in this field and are also lacking expert Institutes that could train a new cohort of machine-learning engineers and scientists that could further develop and commercialize AI technology.
- Despite the opportunities presenting themselves, again and again, the majority of Indian companies have shown a slow adoption rate of AI. Thus, adding another reason to the list of Challenges of AI in India.
- Since the cost of failure in investing and adopting AI is much higher in India than in the West, this presents a lack of room for innovative experimentation and serves as another set of Challenges of AI in India.
- There is also an extreme lack of collaboration between industry and academia as not many colleges offer AI courses to enable their students in this emerging field
- India has come with a long history of bad products ecosystem that adds another bead in the long chain of Challenges of AI in India.
- The country’s diversity and complexity also present a new set of challenging problems for adopting artificial intelligence at a larger scale.
- Another one of the Challenges of AI in India includes the lack of enabling data ecosystems
- Lack of proper laws and policies on ensuring digital security of people is another factor to add to the number of Challenges of AI in India as AI solutions work on the edge of unclear privacy, security and ethical regulations
Way to Overcome AI Adoption Hurdles
As India forms the major backbone of IT in the world, the advent of AI is extremely significant to enhance the digital transformation of Indian companies as well as other cutting-edge technologies.
Need of the hour states powerful and reliable policy changes such as a strict liability scheme that holds the producer or manufacturer of any product or solution liable for the harm, regardless of the fault, that is one type of approach we can consider.
Since privacy comes under the most basic fundamental right, certain rules and laws to regulate the usage of data that is handled by an AI entity should be kept under the Personal Data Protection Bill, 2018 as its part.
Moving forward, despite facing numerous Challenges of AI in India and its adoption is gaining traction in India in the last few years, it is still not up to the level of the US and China that is far ahead in this field.