India will become a leading country in the field of artificial intelligence

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- The government used technology in administration to overcome the shortcomings of the subsidy program

Government is now using technology in governance. Technology has helped overcome the shortcomings of subsidy programs and artificial intelligence (AI) can greatly enhance the capabilities of e-governance. The Union Budget also announced the setting up of three Centers of Excellence for AI and will be linked to academia, industry and startups. Working groups have been formed to establish an India Dataset Platform and Center of Excellence. The government is looking to create a network model that protects fair use access without stifling innovation.

The government has invested around Rs. 1635 crore will be spent. Its implementation priorities include India Stake governance applications, a comprehensive linguistic model for Digital India Bhashini and developing better health services.

The relaunched Skill India program will also focus on AI as it will be essential for the workforce of the future. While governments and government agencies have made initial investments in artificial intelligence in the US and China, the private sector here could prove to be a catalyst for new investments in artificial intelligence-related startups. Another effect would be a massive increase in productivity across the economy.

India Stack is a large basket of government supported open source software application programming interfaces like Aadhaar, UPI, eSign and DigiLocker etc. Being open source, anyone can connect to them. This has inspired various applications, APIs, libraries and user interfaces. A stack collects a wide range of data for various uses.

If artificial intelligence-driven algorithms are applied to study the data, it can provide deeper insights into consumer behavior and consumption trends. While the inclusion of such artificial intelligence should be appreciated, maintaining privacy will require strict oversight.

This is also necessary to avoid data leaks in the absence of data protection laws. By taking care in this direction, it can be done that only Indian startups and researchers have direct access to data. Additionally strong privacy protocols are needed as there are no guarantees against misuse by local entities.

If India wants to use artificial intelligence on a large scale to boost digital inclusion and skills. So it will need to adopt stricter standards to address the biases of existing algorithms. There is also a need to ensure that artificial intelligence does not memorize biases in data towards castes and communities.

This includes building audit systems to understand how artificial intelligence thinks. This is because it can be like a black box for programmers. One of the reasons for the slow adoption of AI in datasets in India may be that the country is very diverse and large in size.

In such a situation, the data set size is also huge. When it comes to big linguistic models like Chat GPT etc., here too India has an automatic advantage as there is a lot of data available in many languages ​​to work with. If India goes ahead with this policy, it can become a leading country in the field of artificial intelligence. Along with this, the government may also consider framing guidelines to protect and limit potential harm to citizens.


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