Role of Emotional Intelligence (#EI) in artificial intelligence (#AI) part-02.
Hello,Everyone I am back with my blog about :Role of Emotional Intelligence (#EI) in artificial intelligence (#AI) part-02.
The Rise of AI Makes Emotional Intelligence More
Important.
The booming growth of machine learning and
artificial intelligence (AI), like most transnational technologies, is both
exciting and scary. It’s exciting to consider all the ways our lives may
improve, from managing our calendars to making medical diagnoses, but it’s scary
to consider the social and personal implications — and particularly the
implications for our careers. As machine learning continues to grow, we all
need to develop new skills in order to differentiate ourselves. But which ones?
It’s long been known that AI and automation/robotics will change markets and
work forces. Self-driving cars will force over three thousand truck drivers to
seek new forms of employment, and robotic production lines like Tesla’s will
continue to eat away at manufacturing jobs, which are currently at 12 million
and falling. But this is just the beginning of the disruption. As AI improves,
which is happening quickly, a much broader set of “thinking” rather than
“doing” jobs will be affected. We’re talking about jobs, that, until the last
few years, we couldn’t imagine being done without the participation of an
actual, trained human being. Jobs like teacher, doctor, financial adviser,
stockbroker, marketer, and business consultant.
There are just a lot of things that machines can do
better than human beings, and we shouldn’t be too proud to admit it. Many
skilled jobs follow the same general workflow: Gather data Analyse the data interpret
the results Determine a recommended course of action Implement the course of
action we can look at any number of occupations to see that this holds true.
Doctors perform tests, analyse the results, interpret the results to make a
diagnosis, plan a course of treatment, and then work with the patient to make
this treatment plan a reality. Financial advisers gather and analyse data about
their clients and potential investment vehicles, interpret the implications
given a variety of factors such as risk tolerance, recommend an investment
strategy, and help their clients carry this strategy out over time. Business
consultants do much of the same, but diagnose and solve business problems.
These
highly skilled workers can command high rates because of three capabilities.
Their abilities to go through the early rote tasks quickly and accurately;
their experiences and judgement in determining a course of action; and their savvies
for helping clients navigate that course. AI and machine learning will quickly
surpass our abilities on the first two capabilities—and this will shift the skill
set required for any worker wishing to stay in these careers as they are
transformed by artificial intelligence.
It’s
easy to see the role of automated systems in data gathering and analysis. We’ve
accepted that machines can do these types of tasks efficiently. However, their
potential goes much further. Human beings are limited, and often biased.
Doctors will never be able to keep up with every new publication in their areas
of expertise. Instead, they must rely on a small number of personal experiences
rather than the complete knowledge in their field. Consultants, too, can only
experience so many company transformations over their careers. From a narrow
set of experiences, they form their preferences, expectations, and insights.
Human beings can’t just plug in more servers when we reach our limits
processing new information. Instead, we must rely on our own, often biased,
preferences, habits, and rules of thumb.
Some people
may say that we will never trust machines with important decisions such as the
management of our health and money, but this is twentieth century thinking. But
a new generation is engaging with smart machines that they trust, and often
prefer. Further, it’s hard for anyone to argue with results. IBM’s Watson is
already cracking medical cases that stump doctors, and investors are fleeing
expensive, actively managed funds for better-performing passive ones. The value
of some of our most prised career paths is already being eroded. Those that
want to stay relevant in their professions will need to focus on skills and capabilities
that artificial intelligence has trouble replicating — understanding,
motivating, and interacting with human beings. A smart machine might be able to
diagnose an illness and even recommend treatment better than a doctor. It takes
a person, however, to sit with a patient, understand their life situation
(finances, family, quality of life, etc.), and help determine what treatment
plan is optimal. Similarly, a smart machine may be able to diagnose complex
business problems and recommend actions to improve an organisation.
A human being, however, is still best suited to jobs
like spurring the leadership team to action, avoiding political hot buttons,
and identifying savvy individuals to lead change. It’s these human capabilities
that will become more and more prized over the next decade. Skills like
persuasion, social understanding, and empathy are going to become
differentiators as artificial intelligence and machine learning take over our
other tasks. Unfortunately, these human-oriented skills have generally been
viewed as second priority in terms of training and education. We’ve all
experienced the doctor, financial planner, or consultant who is more focused on
his or her reports and data than on our unique situations and desires. For
better or worse, these skills will become essential to anyone who wants to stay
relevant in their field as automated systems proliferate. We have three
recommendations: Don’t fight the progress of technology. Machine learning and
AI have the ability to improve outcomes and lower cost — so don’t fight the
robots.
Welcome the change in your industry and work to make
it fruitful and complementary. Examine your own capabilities interacting with,
motivating, and assessing people. Recognize your strengths and weaknesses when
it comes to emotional intelligence. Invest in developing your emotional
intelligence. The simplest way is to change your mental model about what is
important in your role, and begin focusing on how you can better manage,
influence, and relate to others. Or, take it a step further by seeking out
training and stretch opportunities. What you have to offer — what you can do
better than any smart machine — is relate to the people around you. Begin to
nurture and invest in these abilities the same way that you have the more
technical parts of your career. If you can be an outstanding motivator,
manager, or listener, then you will still have a part to play as technology
changes your industry.
Can EI used for machine learning? ??
ReplyDelete