{"id":67,"date":"2019-02-16T11:29:10","date_gmt":"2019-02-16T11:29:10","guid":{"rendered":"https:\/\/cyfuture.com\/blog\/?p=67"},"modified":"2019-04-19T14:24:03","modified_gmt":"2019-04-19T08:54:03","slug":"ai-can-a-machine-ever-be-human-convincingly","status":"publish","type":"post","link":"https:\/\/cyfuture.com\/blog\/ai-can-a-machine-ever-be-human-convincingly\/","title":{"rendered":"AI: Can A Machine Ever Be Human, Convincingly? \ufeff"},"content":{"rendered":"\n

The inclusion of \u2018learning abilities\u2019 \u2013 mostly thought unique to humans and very few other evolved primates \u2013 defines artificial intelligence<\/a> to a large extent. Faced with unfamiliar situations, how the program deals with the problems and attempts to solve them is key to identifying a stretch of software code as \u2018artificially intelligent\u2019. <\/p>\n\n\n\n

Artificial Intelligence has made\nthe leap from science fiction to real life in a short matter of time. It was initially\nenvisioned as a panacea for the intricate but repetitive processes that aided scientific\nresearch and technological advancement \u2013 a role it has fulfilled and, in many\ninstances, surpassed. <\/p>\n\n\n\n

Training a program by making it\nunderstand a variety of sensory inputs, whether in the form of digital or\nanalog data, does not mean that program has \u2018intelligence\u2019. The result of this\nfactor being used to decide the intelligence of software leads to various\ntechnologies that were quite revolutionary at their inception now being\nclassified as routine programs, because their previously groundbreaking tasks\nhave become rudimentary in today\u2019s advanced day and age. <\/p>\n\n\n\n

A Brief History of AI<\/strong><\/p>\n\n\n\n

Automation has been a pursuit of humanity since classical Greek antiquity. The word \u2018automaton\u2019 itself is used by Homer to refer to machines acting according to their own will. There is ample evidence in literature and history that shows how we have striven to recreate machines that not only look like us, but walk, talk and act like us. The more successful efforts towards such aims are said to be in the \u2018uncanny valley\u2019, an uncomfortable state which results from the almost, but not entirely, accurate depiction of human beings by doppelganger machines.<\/p>\n\n\n\n

Interesting Article to Read<\/strong> : Chatbots & Live Chat | A Sprint to Sublime Customer Service<\/a><\/p>\n\n\n\n

Alan Turing was instrumental in making\nartificial intelligence a practical field. Approaching AI in purely\nmathematical binary terms, digitization was used as the platform to erect\nexpert systems, which use inference engines and knowledge bases to make\ndecisions. Moore\u2019s Law, which predicted computing power rising up while\ncomponent sizes reduced, still remains applicable, albeit to a slightly lesser\nextent.<\/p>\n\n\n\n

Now, with data surging forth from\nall sorts of sources right from our handheld devices to astronomical\nobservations and literal rocket science, machines that have been developed\nspecifically to \u2018think like a human\u2019 are rapidly being deployed in a variety of\nfields, form bioengineering to synthetic medicine. Nearer our daily lives,\nsearch engines [one (followed by a hundred zeros) in particular, but all of\nthem in general] and flagship smartphones use all the learnings gleaned from AI\nto deliver \u2018personalized experiences\u2019 right into our hands!<\/p>\n\n\n\n

We Are Already AI-ed, Daily!<\/strong><\/p>\n\n\n\n

In 2014, Stephen Hawking gave a\nsubliminal quote on AI: \u201cIt [AI] would\ntake off on its own and redesign itself at an ever increasing rate. Humans, who\nare limited by slow biological evolution, couldn’t compete and would be\nsuperseded.<\/em>\u201d<\/p>\n\n\n\n

While such a day still seems far\noff as of now, the quest for replicating human thought patterns and response\nheuristics continues unabated. Programmers in diverse fields toil away every\nday at their projects, attempting to reproduce the thought processes that make\nup the human mind. They have to take many factors into consideration, not the\nleast of which is the ethical complication in \u2018fooling\u2019 a human into thinking\nthey are conversing \u2013 or, at basic levels, interacting \u2013 with a machine.<\/p>\n\n\n\n

We are already carrying out a\ngreat deal of everyday interactions with artificial intelligence. The level to\nwhich it affects the technology in the palm of our hands is difficult to\nidentify at the user level. To delve deeper, we have to break down the integral\ncomponents of interactions amongst humans and machines \u2013 a task easier said\nthan done.<\/p>\n\n\n\n

The question I asked at the\nbeginning is hard to answer, because it is rooted in the future. At Cyfuture,\nwe are accustomed to asking questions that require a certain kind of \u2018never\ngiving in\u2019 mindset to answer \u2013 for laterally solving problems or creating\ninnovative solutions to increase the effectiveness of existing legacy systems,\nas well as drive businesses better. <\/p>\n","protected":false},"excerpt":{"rendered":"

The inclusion of \u2018learning abilities\u2019 \u2013 mostly thought unique to humans and very few other evolved primates \u2013 defines artificial intelligence to a large extent. Faced with unfamiliar situations, how the program deals with the problems and attempts to solve them is key to identifying a stretch of software code as \u2018artificially intelligent\u2019. Artificial Intelligence […]<\/p>\n","protected":false},"author":8,"featured_media":51,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[5,6,4,7,8],"tags":[],"_links":{"self":[{"href":"https:\/\/cyfuture.com\/blog\/wp-json\/wp\/v2\/posts\/67"}],"collection":[{"href":"https:\/\/cyfuture.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cyfuture.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cyfuture.com\/blog\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/cyfuture.com\/blog\/wp-json\/wp\/v2\/comments?post=67"}],"version-history":[{"count":3,"href":"https:\/\/cyfuture.com\/blog\/wp-json\/wp\/v2\/posts\/67\/revisions"}],"predecessor-version":[{"id":1458,"href":"https:\/\/cyfuture.com\/blog\/wp-json\/wp\/v2\/posts\/67\/revisions\/1458"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cyfuture.com\/blog\/wp-json\/wp\/v2\/media\/51"}],"wp:attachment":[{"href":"https:\/\/cyfuture.com\/blog\/wp-json\/wp\/v2\/media?parent=67"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cyfuture.com\/blog\/wp-json\/wp\/v2\/categories?post=67"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cyfuture.com\/blog\/wp-json\/wp\/v2\/tags?post=67"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}