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'India needs legal infrastructure to lead in artificial intelligence'

IANS  |  New Delhi 

In order to become a frontrunner in the field of artificial intelligence (AI), should take the lead in establishing a legal infrastructure on its application, a study said here on Thursday.

According to a recent Assocham-PwC joint study titled "Leveraging artificial intelligence and robotics for sustainable growth", an early public sector interest could trigger a spurt of activity in the AI field in India, instead of waiting for technology to reach a level where regulatory intervention becomes necessary.

The study said a range of applications for AI techniques in large-scale public endeavours like "Make in India", "Skill India" and others could range from crop insurance schemes, tax fraud detection, detecting subsidy leakage and security strategy.

"If investments are made in the two initiatives without due cognisance of how Industry 4.0 (the next industrial revolution driven by robotic automation) may evolve with respect to demand for workforce size and skill sets, there is a possibility of ending up with capital-intensive infrastructures and assets that fall short of being optimised for automated operations and a large workforce skilled in areas growing beyond the need for manual intervention only," it added.

Information technology (IT), manufacturing, agriculture and forestry are certain sectors that are expected to experience shrinkage of employment demand as robotic systems and machine learning algorithms take up several tasks, the study said.

Highlighting how AI can be effectively used in execution of government schemes, the study pointed out that "deep learning", a part of AI, can be employed to tackle prevalent issues.

"It is essentially a process that can be used for pattern recognition, image analysis and natural language processing (NLP) by modelling high-level abstractions in data which can then be compared with various other recognised contents in a conceptual way rather than using just a rule-based method," it said.

The study added that in comparison to the West and frontrunners of AI adoption in Asia, such as China and Korea, the culture and infrastructure needed to develop a base for the adoption of AI in mainstream applications in is in need of an impetus.

"As such it is imperative in to foster a culture of innovation and research beyond the organisation as is common in global technology giants," it added.

--IANS

ppg/him/rn

(This story has not been edited by Business Standard staff and is auto-generated from a syndicated feed.)

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'India needs legal infrastructure to lead in artificial intelligence'

In order to become a frontrunner in the field of artificial intelligence (AI), India should take the lead in establishing a legal infrastructure on its application, a study said here on Thursday.

In order to become a frontrunner in the field of artificial intelligence (AI), should take the lead in establishing a legal infrastructure on its application, a study said here on Thursday.

According to a recent Assocham-PwC joint study titled "Leveraging artificial intelligence and robotics for sustainable growth", an early public sector interest could trigger a spurt of activity in the AI field in India, instead of waiting for technology to reach a level where regulatory intervention becomes necessary.

The study said a range of applications for AI techniques in large-scale public endeavours like "Make in India", "Skill India" and others could range from crop insurance schemes, tax fraud detection, detecting subsidy leakage and security strategy.

"If investments are made in the two initiatives without due cognisance of how Industry 4.0 (the next industrial revolution driven by robotic automation) may evolve with respect to demand for workforce size and skill sets, there is a possibility of ending up with capital-intensive infrastructures and assets that fall short of being optimised for automated operations and a large workforce skilled in areas growing beyond the need for manual intervention only," it added.

Information technology (IT), manufacturing, agriculture and forestry are certain sectors that are expected to experience shrinkage of employment demand as robotic systems and machine learning algorithms take up several tasks, the study said.

Highlighting how AI can be effectively used in execution of government schemes, the study pointed out that "deep learning", a part of AI, can be employed to tackle prevalent issues.

"It is essentially a process that can be used for pattern recognition, image analysis and natural language processing (NLP) by modelling high-level abstractions in data which can then be compared with various other recognised contents in a conceptual way rather than using just a rule-based method," it said.

The study added that in comparison to the West and frontrunners of AI adoption in Asia, such as China and Korea, the culture and infrastructure needed to develop a base for the adoption of AI in mainstream applications in is in need of an impetus.

"As such it is imperative in to foster a culture of innovation and research beyond the organisation as is common in global technology giants," it added.

--IANS

ppg/him/rn

(This story has not been edited by Business Standard staff and is auto-generated from a syndicated feed.)

image
Business Standard
177 22

'India needs legal infrastructure to lead in artificial intelligence'

In order to become a frontrunner in the field of artificial intelligence (AI), should take the lead in establishing a legal infrastructure on its application, a study said here on Thursday.

According to a recent Assocham-PwC joint study titled "Leveraging artificial intelligence and robotics for sustainable growth", an early public sector interest could trigger a spurt of activity in the AI field in India, instead of waiting for technology to reach a level where regulatory intervention becomes necessary.

The study said a range of applications for AI techniques in large-scale public endeavours like "Make in India", "Skill India" and others could range from crop insurance schemes, tax fraud detection, detecting subsidy leakage and security strategy.

"If investments are made in the two initiatives without due cognisance of how Industry 4.0 (the next industrial revolution driven by robotic automation) may evolve with respect to demand for workforce size and skill sets, there is a possibility of ending up with capital-intensive infrastructures and assets that fall short of being optimised for automated operations and a large workforce skilled in areas growing beyond the need for manual intervention only," it added.

Information technology (IT), manufacturing, agriculture and forestry are certain sectors that are expected to experience shrinkage of employment demand as robotic systems and machine learning algorithms take up several tasks, the study said.

Highlighting how AI can be effectively used in execution of government schemes, the study pointed out that "deep learning", a part of AI, can be employed to tackle prevalent issues.

"It is essentially a process that can be used for pattern recognition, image analysis and natural language processing (NLP) by modelling high-level abstractions in data which can then be compared with various other recognised contents in a conceptual way rather than using just a rule-based method," it said.

The study added that in comparison to the West and frontrunners of AI adoption in Asia, such as China and Korea, the culture and infrastructure needed to develop a base for the adoption of AI in mainstream applications in is in need of an impetus.

"As such it is imperative in to foster a culture of innovation and research beyond the organisation as is common in global technology giants," it added.

--IANS

ppg/him/rn

(This story has not been edited by Business Standard staff and is auto-generated from a syndicated feed.)

image
Business Standard
177 22