  Artificial intelligence has changed our day to day life in multitude ways. AI
technology is rearing itself as a driving force to be reckoned with in the
largest industries in the world. AI has already engulfed our educational
system, our businesses and our financial establishments. The future is definite
that machines with artificial intelligence will soon be captivating over
trained manual work that now is mostly cared by humans. Machines can carry out
human-like tasks by new inputs as artificial intelligence makes it possible for
machines to learn from experience. AI data from web of science database from
2008 to 2017 have been mapped to depict the average growth rate, relative
growth rate, contribution made by authors in the view of research productivity,
authorship pattern and collaboration of AI literature. The Lotka's law on
authorship productivity of AI literature has been tested to confirm the
applicability of the law to the present data set. A K-S test was applied to
measure the degree of agreement between the distribution of the observed set of
data against the inverse general power relationship and the theoretical value
of {\alpha} =2. It is found that the inverse square law of Lotka follow as
such.
