Video Summary

[RSTV The Big Picture] How Artificial Intelligence can be used for social empowerment?

Technology over the last few decades has been rapidly evolving changing the way we think, work and live. Governments and organizations around the world are investing in and focusing heavily on Artificial Intelligence (AI).
By IT's Video Summary Team
October 16, 2020

Contents

  • Introduction
  • Potential of AI
  • Responsible AI for Social empowerment
  • Concerns
  • Challenges
  • Way Forward
  • Conclusion

How Artificial Intelligence can be used for social empowerment?

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Introduction:

Artificial Intelligence (AI) can be described as the computer trying to mimic the human behaviour or human mind’s cognitive functions. It is concerned with building smart machines capable of performing tasks that typically require human intelligence. Indian government is investing in and focusing heavily on the utilisation and penetration of Artificial Intelligence (AI) in the country.

Potential of AI:

  • AI has the potential to add around 15 trillion dollars to the world economy and 1 trillion dollars to the Indian economy. 
  • AI presents a trillion-dollar opportunity for India in the three aspects at present i.e. automation, augmentation and the general increase in productivity because of the first two.
  • India can build on the capability of different sectors with limited experts with the help of AI.

Responsible AI for Social empowerment:

1. Disaster forewarning and forecasting:

  • AI can help in predicting a disaster (for ex. Flood warning) based on weather data, rainfall data and topography of the region.

2. Healthcare:

  • AI can be used as a first level of medication in rural areas with shortage of skilled doctors.
  • It can be employed in designing personalised medicines.
  • It can predict healthcare problems like advent of a heart attack, diabetes, cancer, tuberculosis and save some crucial hours and death of a person.

3. Agriculture:

  • AI can be used to develop smart agricultural prediction models like the most accurate time to sow seeds, irrigation, harvest by using the legacy data, soil profile, weather, topography, climate and analysing the market forces.

4. Smart Cities:

  • AI can be used in the traffic management, automatic challans, CCTV surveillance, smart infrastructure models in the city.

5. Manufacturing:

  • AI can be employed to design new models, detect the manufacturing defects in the manufacturing industries.

6. Learning tools:

  • It can be used to create new and advanced learning tools for education and research purposes.
  • The tools can be personalised for specific age groups, regional areas, tribals or for persons with disabilities.

Concerns:

1. Areas of concern:

  • The jobs, transparency, bias and robustness are the core areas of concern.

2. Issues with communication:

  • There is no clarity why AI makes a certain kind of decision and the AI system cannot tell the reason for mistakes done by it.
  • Further humans cannot communicate with AI and vice versa.

3. Bias and Fairness:

  • AI runs from data and since the data has human biases and as AI cannot differentiate the biases, therefore, the biases get magnified by the AI system.

4. Fixing Accountability:

  • There is a problem of fixing accountability that who should be held responsible in case of any legal, moral or ethical issue.
  • The question whether AI is responsible or the person who trained AI, is yet to be answered.

Challenges:

  • India stands at the 10th place in number of researchers in AI.
  • India hold 13th place worldwide in terms of quality and quantity of research in AI.
  • The AI training in the country is limited. This is because of the shortage in researchers and higher-level trained educators or professionals in AI, who train people in the sector.
  • It is a wrong notion that AI will lead to loss in jobs, but the advent of AI will require mass reskilling in the various job roles.
  • AI will create many new jobs, but in the present scenario, India is not prepared to reap the fruits due to shortage of trained manpower.
  • Around 97000 AI related jobs are vacant in the country in the present.

Way Forward:

  • India needs to bring the best of experts in AI and make India their chosen playground.
  • Large scale investment in researchers is important and where the NITI Aayog and other departments are playing a crucial role.
  • India and its problems are unique. Therefore, more focus must be made on developing the products indigenously keeping in mind the uniqueness of problems or challenges.
  • India needs to impart training to the youth right from the formative years of their colleges to made them industry ready.
  • One significant step in this regard is the Responsible AI for Youth program of the govt. to impart AI skills in the students of govt. schools.
  • CBSE has introduced AI as a subject in class 10th and 12th
  • Further, the New Education Policy 2020 plans to introduce coding in school curriculum right from class 6th.

Conclusion:

AI has immense potential and possibilities to put in place the ecosystem both in terms of institutions as well in terms of opportunities for domestic players, the development of the country and for the society. So, the need of the hour is to move forward carefully by grabbing the possibilities, challenging the limitations and handling AI tools and solutions for the benefit of mankind.

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