Author: Grace Deebthee John
CONTENTS
Introduction
AI Policy in India
Impact of AI in various sector
Conclusion
FAQS
INTRODUCTION
Understanding the characteristics of human intelligence and creating intelligent objects that are capable of carrying out tasks that are considered to require intelligence when carried out by humans are the goals of artificial intelligence (AI). With any significant technological breakthrough, a number of opportunities and difficulties arise. Even though AI is expected to significantly boost the economy, many jobs are expected to be lost as a result of automation. Consequently, it is essential to establish the requisite infrastructure and policies.
Artificial Intelligence (AI), also known as machine intelligence, is a technique that mimics the cognitive processes of the human mind in order to solve problems or just learn. It has the potential to disrupt nearly every aspect of human existence. AI is constantly developing to help a wide range of sectors. A cross-disciplinary method based on languages, computer science, psychology, mathematics, and other fields is used to wire machines. The financial, banking, smart city, mobility and transportation, healthcare, education, and agricultural sectors are just a few of the industries and domains where artificial intelligence has proliferated.
AI is widely utilized as a tool to address socioeconomic issues and is being evaluated as a potential solution for the Sustainable Development Goals (SDG) framework of the United Nations, which outlines prioritized activities, targets, and goals.
AI POLICY IN INDIA
The National Strategy for AI, also known as #AIforAll, was released in 2018 by Indian Policy Think Tank Niti Aayog and is still by far the most significant document that guides the development of the AI ecosystem in India. Its three main goals are (a) to empower and improve the skills of Indians so they can obtain quality jobs, (b) to achieve social and economic growth and invest in research with sector-specific emphasis, and (c) to thrive to make India a global hub for AI and scale up to the world.
In the view of the possible impact of AI on the economy and society and to come out with a policy framework on AI, MeitY constituted the following four committees on AI.
The four-committee reports were released in July2019 and published in December 2019.
Committee A on platforms and data on Artificial Intelligence
Committee B on leveraging AI for identifying national missions in key sectors
Committee C on mapping technological capabilities, key policy enablers required across sectors, skilling and reskill
Committee D on Cyber security, safety, legal and ethical issues.
IMPACT OF AI IN VARIOUS SECTOR
EDUCATION
Since the 1980s, intelligent tutoring systems have been created. A number of applications have been around for a while. Numerous new applications can now be developed because to advancements in AI techniques like natural language processing. Since education is essential for development in many areas, artificial intelligence would have a significant overall impact on education. AI applications in education include responding to student inquiries, posing questions and offering comments, and evaluating narrative responses. According to a study, artificial intelligence will change education in the next four to five years (Kanejiya, 2017).In addition to AI, a number of other recent technology developments are altering the nature of education.
Creating bots that look like humans is now feasible. In an experiment, an AI-powered system was developed by a Georgia Tech professor to serve as his teaching assistant and support him in a course that he was teaching. According to McFarland (2018), it spoke to the pupils in the same way as a human teaching assistant. In addition to grading the students’ assignments, it used email to respond to their questions in plain English. Throughout the whole semester, the students were unaware that they were dealing with a system rather than a human being until the professor himself made the point clear to them.
Although there is a wealth of digital learning resources available, the lack of personalization has kept computer-based education’s use limited. A human instructor adapts the material to each student’s needs. Each student possesses a unique level of aptitude and knowledge. Consequently, it is ineffective to use the same content for all students. The system shouldn’t move on to the following topic if the student is still struggling to understand the current one. In the same way, if a student is already familiar with the subject, the material becomes monotonous and the student loses interest. AI has made personalization feasible. The content of such a system can be modified based on the needs of the student.
CYBER SECURITY
Cybercriminals and security service providers are engaged in a never-ending battle as a result of the virtual world’s explosive growth in size and complexity. Every side is attempting to create increasingly complex methods and instruments. The dynamic environment of cyberspace makes it impossible to make firm predictions because circumstances there are always changing. Since AI systems can adapt to a changing environment, their application is growing across the board in the cyber defense chain, including early warning, prevention, detection, and reaction (Wirkuttis & Hadas, 2017).
AI automates processes, reducing the need for human interaction. The traditional cyber security solutions require human intervention in multiple levels, which makes them slow. Any delay must be minimized because it can result in significant harm. The loss extends beyond only monetary harm. Access to patient medical records is slowed significantly in the event of a denial of service assault on a hospital. This could be lethal for a patient who needs help right now.
AI technology has made it feasible to develop artificial intelligence (AI) police agents to keep an eye on the entire network. It accomplishes this task by using intelligent agents. An application with sense, reasoning, and autonomous action capabilities is called an intelligent agent. In order to work together to complete a task, these agents can communicate with one another. In order to monitor the network and identify harmful activity in a decentralized manner, a sufficient number of intelligent agents can be installed.
DATA INFORMATION
Users cannot see AI since it is integrated into everyday systems. The Google search engine, for instance, employs advanced AI algorithms to forecast the material that a user could find interesting. According to Brin (1998), it is the best search engine since it displays the most pertinent documents at the top. Users benefit greatly from such search engines as the amount of content on the Internet grows. Additionally, search engine providers use user preference data to determine which ads to display in addition to retrieving information. In order to determine which news articles are relevant to the user, Google keeps track of the news items that the user is reading.
Google also determines which ads are relevant based on information gathered from a user’s surfing history, and then displays those ads while the user is browsing. It’s been found to be really effective. Google makes money based on the quantity of user hits.
FINANCIAL SECTOR
Chatbots, virtual customer experience management, and increased engagement efficiency are the first ways that AI is being used in the financial sector. Intelligence automation has been used to improve back-office operations and management in the banking and financial sector, leading to better procedures. By being reactive in monitoring and prevention at times, artificial intelligence has played a significant role in the most crucial area of the financial sector, which is fraud, cheating, money laundering, and other malpractices.
AGRICULTURE
The government’s intervention in this sector becomes crucial with artificial intelligence prospects because there are many extremes in the adoption of AI in the agricultural sector, which surpasses the economic returns from this domain as acknowledged by private initiatives. AI has the potential to meet the growing demand for food and spark a food revolution. Inadequate demand forecasting, unreliable irrigation, and excessive or inappropriate use of fertilizers and pesticides are some of the issues it may help with. Among the application cases are real-time advise systems that increase agricultural output, sophisticated insect attack detection systems, and crop price forecasts that guide planting strategies.
HEALTHCARE SECTOR
One of India’s most exciting and difficult industries is healthcare. India’s healthcare system is not universally accessible. AI applications in healthcare can assist in addressing the problem of significant obstacles to accessing medical facilities, especially in rural locations with inadequate connectivity and a shortage of medical specialists. Use cases including AI-driven diagnostics, individualized care, early detection of possible pandemics, and imaging diagnostics, among others, can be implemented to accomplish this.
CONCLUSION
One new field of policy development in India is artificial intelligence (AI). India has a special chance to use AI to address some of its most pressing issues, like a lack of healthcare facilities, poor educational standards, a weak financial system, etc. Meeting the goal of offering high-quality healthcare and education through traditional means is not feasible. The number of physicians required to deliver high-quality healthcare, for example, is so great that it will take years to reach. Another way to accomplish the same thing is with AI technology.
Any nation’s or the world’s governments’ operational procedures could be changed by AI technologies. It can increase the efficacy and efficiency of services provided by any nation’s government. The main issues as AI is implemented in every industry and by practically every nation in the upcoming years will be privacy, ethics, security, bias, and over-automation. Unless it has the potential to alleviate problems in other industries, emerging technologies cannot be mindlessly adopted and used in every industry for the only purpose of using them. AI is able to comprehend, track, identify causes, forecast, communicate, and learn to get better over time. “
FAQS
1. What is Artificial Intelligence (AI)?
Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are designed to think, reason, and learn like humans. AI enables machines to solve problems, make decisions, and perform tasks that typically require human intelligence.
2. How is AI utilized in the education sector?
AI is revolutionizing education by personalizing learning experiences, offering intelligent tutoring systems, automating administrative tasks, and enhancing student engagement. For example, AI-powered bots can respond to student queries, grade assignments, and adapt content based on individual learning needs.
3. How does AI impact cybersecurity?
AI enhances cybersecurity by automating threat detection, reducing response time, and monitoring networks for malicious activities. AI-powered intelligent agents can act autonomously to identify and prevent cyberattacks, making systems more secure and resilient.
4. What is India’s AI policy?
India’s National Strategy for AI, introduced by NITI Aayog in 2018, aims to:
– Empower Indians with quality jobs.
– Drive social and economic growth.
– Make India a global AI hub by investing in research and innovation.
Four committees focus on areas like data platforms, sector-specific applications, skills development, and cybersecurity.
5. How does AI benefit the healthcare sector?
AI addresses challenges in India’s healthcare system by:
– Offering AI-driven diagnostics and personalized treatments.
– Early detection of pandemics.
– Providing solutions to rural areas with limited access to medical facilities and specialists.
6. What role does AI play in agriculture?
AI is transforming agriculture by:
– Improving demand forecasting and crop price prediction.
– Enhancing irrigation techniques.
– Detecting pest attacks in real time and optimizing fertilizer and pesticide usage.
7. What are the challenges associated with AI implementation?
Key challenges include:
– Privacy and security concerns.
– Ethical issues, such as bias and fairness.
– Over-automation, which can lead to job displacement.
– Addressing these concerns is crucial for responsible AI adoption.
