Long before computers had sophisticated central processing units and powerful graphical processing units that made artificial intelligence possible, scientists such as Alan Turing and John Searle were debating whether machines will ever be able to emulate human intelligence. This opened the door to many thought experiments such as 'The Chinese Room Argument' that criticized machines' future ability to think. Now that the world is witnessing advancements in the field of AI - from computers that could beat the top chess players to self-driving vehicles, the debate was re-introduced, which in return raised many philosophical questions regarding consciousness, understanding and intelligence. 

Joining me for this episode is a cognitive scientist and researcher, Keiland Cooper. Keiland is a researcher at the University of California and the core of his work is somewhere in the middle of neuroscience, data science and artificial intelligence. Over the years, Keiland had the privilege to work on multiple research projects ranging from how the brain learns and functions, to AI and the neurological impacts of COVID-19. If you would like to connect with Keiland or read some of his publications, then you can do so either by following him on twitter or visiting his website

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