“Though
our smoke may hide the Heavens from your eyes,
It
will vanish and the stars will shine again,
Because,
for all our power and weight and size,
We
are nothing more than children of your brain!”
-
The Secret of the Machines (Rudyard
Kipling)
The juxtaposition of human intelligence versus powerful
machinery is explained in a very sublime manner through these lines. As we
witness artificial intelligence replacing the human work, it becomes imperative
for a modern worker to empower the human factor in performing complex and
critical work requiring human judgement
and creativity.
During the Industrial Revolution of the mid-eighteenth
century, almost every aspect of the daily life was influenced in the transition
from hand production to mass production; to the extent that it even attracted
intellectual hostility towards the ‘monstrous machines’. Centuries later, it is
acknowledged as a turning point in history leading to emergence of a modern
economy and improving the standards of living.
We can draw a parallel, with Erik Brynjolfsson’s and
Andrew McAfee’s argument in their book ‘The Second Machine Age’ that automation
makes humans and machines substitutes, rather than complements. Klaus Schwab, executive
chairman of the World Economic Forum has coined the termed ‘Fourth Industrial Revolution’
to represent the emerging technological breakthroughs. While the most
disruptive changes can be traced to the AI Revolution, it will eventually bring
in a new era of prosperity, wherein humans will no more need to perform routine
low-value jobs, rather engage in flexible
niche service offerings.
The
commercial offerings from technology giants including Machine Learning, Natural
Language Processing, Augmented and Virtual Reality, Computer Vision, Cognitive
Computing and so on, are pushing all boundaries of imagination. The stuff of
science fiction a few years ago is now brought to life with systems that can
see, listen, think, understand, learn, create and decide like human
counterparts. This requires workers to demonstrate human aptitude and capability that surpasses our expectations from these
intelligent machines.
Monotonous tasks would be the first prey to
automation, for instance the Interactive Voice Response technology to reduce
the customer care operations, robots for production lines to perform assembling
operations, autonomous cars or drones to replace traditional transportation
etc. Also, the Financial and Government sector requiring significant data
processing will benefit, where AI can have a great role in eliminating
bureaucracy and improving the service to citizens. In parallel, there would be
numerous new roles that will need highly skilled professionals to manage and maintain these complex
systems, and ensure its security and integrity.
On the other hand, the fact that AI is driven by huge
investments, will deter an unmindful replacement of every human job by
machines, rather limit it to situations that justify its business benefits. In scenarios
where the cost of failure is too high or the risk tolerance is low; where it
can solve major problems of the world today like identification of fake news, enhancement
of digital security, improving medical diagnosis and so forth. A systematic
approach to estimating the strengths and weaknesses of a human interface versus
a bot, will help determine the optimal solution, and the best approach to
achieve social benefits in tandem with the social costs. While the worker may
not be dispensable altogether, the real opportunity is to provide more
personalized services by utilizing AI to empower better, smarter human experiences.
This new age of intelligent automation, requires a
collaborated approach from institutions and individuals to prepare for the
future. It requires societies to adapt to the new technological landscape by
developing new strategies to assess the opportunities and the risks, and redesign
social mechanisms to cover the lost employment scenarios. It requires
organizations to develop an administrative framework to prevent an unbalanced
concentration of technological control. And finally, it requires the individuals
to inherit an attitude of lifelong learning
and innovation to handle the disruption when the existing jobs become
obsolete.
Computer professionals must continuously evolve and identify
new initiatives to remain in the game. Can we design an AI solution for job
applicants that can de-bias discrimination against specific populations based
on gender or race? Can a program calculate risk assessment score to advice
judges to sentence criminals without prejudice? Can a software grade students'
essays more objectively and consistently? Can the spread of misinformation and
hate speech on burgeoning social networks be algorithmically identified and
stopped? As long as the human brain can the frame the problems for the intelligent
machines to solve, they will stay ahead of the curve. The role of the worker is
then to concentrate on problem finding and problem shaping,
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