REGULATORY
SYSTEMS DEALING AI – SCI & TECH
News:
Is the current regulatory
system equipped to deal with AI?
What's
in the news?
●
The growth of Artificial Intelligence (AI)
technologies and their deployment has raised questions about privacy,
monopolisation and job losses.
Artificial
Intelligence (AI):
●
Artificial Intelligence endeavours to simulate the natural intelligence of human
beings into machines, thus making them behave intelligently.
●
Artificial intelligence (AI) has grown in
importance in today's environment. It is the science and engineering of
creating intelligent machines, particularly clever computer programs.
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It is connected to the same challenge of
using computers to study human intellect, but AI does not have to limit itself
to physiologically observable ways.
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AI would not replace people, but rather
generate new possibilities in a variety of industries.
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It operates on data, and if we could train
our robots, it could accomplish marvels for us in milliseconds by automating
procedures.
AI's
Potential and Risks:
AI is offering new
opportunities that previous technology could not.
Potential:
●
AI has limitless potential and may be used
in a variety of sectors.
●
AI has the ability to boost production,
increase efficiency, and deliver individualized solutions in a variety of
industries, including healthcare, finance, education, manufacturing,
transportation, defense, space technology, molecular biology, deep sea mining,
and exploration.
Risks:
●
While AI has enormous promise, it also has
considerable concerns that must be addressed.
●
Some of the hazards linked with AI include
biased algorithms, misdiagnosis or
mistakes, job loss for professionals, accidental injury or civilian fatalities,
and cybersecurity issues.
●
Cybercriminals can also use AI to analyze
their malware and launch more advanced attacks,
●
It is critical to guarantee that AI
development and deployment are done with prudence and that possible hazards are
avoided.
Artificial
Intelligence Technologies – Examples
1.
Robotics and automation: Robots may be designed to undertake
high-volume, repeating jobs that people do.
2.
Natural Language Processing (NLP) is the processing of
human language by computer software.
3.
Pattern recognition is a type of machine learning that aims
to discover patterns in data.
4.
Machine vision is the science of giving computers vision
by gathering and interpreting visual data via a camera, analog-to-digital
conversion, and digital signal processing. It is frequently compared to human
vision; however, machine vision is not limited by biology; it can even be
designed to see through barriers.
5. AI is used today in facial recognition in airports in India
and also by law-enforcement agencies.
Measures
taken in India:
●
In the year 2018, NITI Aayog initiated various programs on the applications of Al.
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In India, NITI Aayog’s Responsible AI for
All strategy aims to strike the right balance between AI promotion and AI
governance. The Indian government has to adopt the strategy.
●
Four
committees were instituted by the Ministry of Electronics and
Information Technology to emphasise and analyse multiple ethical issues of Al.
●
A Joint Parliamentary Committee is
currently considering the Personal Data
Protection Bill 2019 based on a draft statute on data protection.
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The recently-launched New Education Policy stresses on teaching coding to students rights
from Class VI.
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Industries have now begun the process of
up-skilling their manpower with Al technology.
Need
for Regulation:
●
The current
regulatory system may be unprepared to cope with the hazards posed by AI,
particularly in areas such as privacy and competitiveness.
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Governments and tech businesses must
collaborate to create policies that assure the proper development and
deployment of AI systems.
●
Regulations
must be adaptable, flexible, and weigh the advantages and hazards of AI
technology. AI technology may therefore be created
while societal problems are taken into account.
●
AI-based technologies, such as face
recognition technology, create privacy and surveillance concerns. Governments
must adopt legislation to preserve citizen privacy and guarantee that data is
acquired and utilized responsibly.
●
Risk
assessment might aid in evaluating the hazards of AI-based
systems and designing rules to manage such concerns.