In a first-of-its-kind initiative, the Tamil Nadu reportedly working on a policy for safe and ethical use of artificial intelligence (AI).

On October 30, Business Standard reported that the 10th largest state in India, Tamil Nadu is working on separate policies for blockchain and AI. It could be release soon in the next 8 to 10 days.

“This is going to be the world’s first safe and ethical Policy for AI (by a government). We are working on separate policies on blockchain and AI. The AI policy is going to be perhaps the world’s first policy addressing safe and ethical use of AI […] No state or country has announced a standalone policy to address the safety and ethics associated with AI, and we have no precedence for it.” said Santosh K Misra, CEO of the Tamil Nadu E-Governance Agency, and commissioner of e-governance, in the Tamil Nadu government. He added that, the chances were that it might be released next week in the Connect 2019 event.

Tamil Nadu’s blockchain and AI policies are expected to help the state government implement AI and blockchain in public administration and service. There will be seven parameters under the AI policy, and procurement would be based on the solutions meeting these parameters.

Indian states are evolving in the form of blockchain and AI policies.

Tamil Nadu is not the first Indian state to form policies and initiatives regarding blockchain technology. Earlier this year, the Southern Indian state of Telangana released a draft blockchain policy initiative, which aimed to establish an ecosystem for blockchain startups and research institutes.

In August, the second-largest state in India, Maharashtra, was well on its way to prepare a regulatory sandbox. It was for testing blockchain solutions across various applications. Containing the capital of Mumbai, and home to over 114 million people, the state aims to apply blockchain technology in supply chains, agricultural marketing, vehicle registration and document management.

The government of Andhra Pradesh is reportedly exploring the use of blockchain technology in its land ownership system. In order to make it more transparent and fight corruption in the existing system, with an estimated $700 million paid in bribes to land registrars across India.

What is Blockchain?

Blockchain in digital currency is actually more than a currency. It’s the one of the technologies that is improving the security of digital currency. Datuk Dr Mohd Daud Bakar, the Chairman of the Shariah Advisory Council at the Central Bank of Malaysia, the Securities Commission of Malaysia and the Labuan Financial Services Authorities previously shared his view. Let see what is his view on this for us to more understanding about blockchain.

How About Artificial Intelligence (AI)?

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction. Particular applications of AI include expert systems, speech recognition and machine vision.

Expert Systems

An expert system is a computer program that uses artificial intelligence (AI) technologies to simulate the judgment and behavior of a human or an organization that has expert knowledge and experience in a particular field.

Typically, an expert system incorporates a knowledge base containing accumulated experience and an inference or rules engine. A set of rules for applying the knowledge base to each particular situation that is described to the program. The system’s capabilities can be enhanced with additions to the knowledge base or to the set of rules. Current systems may include machine learning capabilities that allow them to improve their performance based on experience, just as humans do.

Voice Recognition (speaker recognition)

This type of recognition is the ability of a machine or program to receive and interpret dictation or to understand and carry out spoken commands. Voice recognition has gained prominence and use with the rise of AI and intelligent assistants, such as Amazon’s Alexa, Apple’s Siri and Microsoft’s Cortana. Voice recognition systems enable consumers to interact with technology simply by speaking to it, enabling hands-free requests, reminders and other simple tasks.

Machine Vision (computer vision)

Machine vision is the ability of a computer to see; it employs one or more video cameras, analog-to-digital conversion (ADC) and digital signal processing (DSP). The resulting data goes to a computer or robot controller. Machine vision is similar in complexity to voice recognition.

Machine vision is used in various industrial and medical applications. Examples include:

Electronic component analysis

Signature identification

Optical character recognition

Handwriting recognition

Object recognition

Pattern recognition

Materials inspection

Currency inspection

Medical image analysis

Photo Credit : medium.com

Source : Cointelegraph, The Times Of India.

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