Alternatives for “TURING TEST”! Is it high time now?

Recently, news surfaced in global media about an announcement of Google Assistant’s great new top up – “GOOGLE DUPLEX”. It is being promoted as google assistant’s upgraded capability to make phone calls on the user’s behalf, that sounds apparently human to the opposite party. For instance, the google assistant can now book a coffee table by initiating an interactive humanly conversation with the cafe staff.

If such is the feat of google assistant as projected recently by the google CEO, it is phenomenal to talk about google duplex in relation to the “TURING TEST”.

Alan Turing in 1950 developed this test in order to differentiate machines from humans by seeking and analyzing responses of the identical questions thrown by an interrogator at an experimental machine and a human, both residing in different rooms. Taking it further, this test has been used since then with finite variations as a benchmark to check the credibility of humanly instincts in AI systems.  

As many leading faces in the artificial intelligence research, like Elon Musk has expressed their worry about disappearing gaps between the performance of AI systems and humans, likewise, innovations like google duplex may dupe the humans of their ethical and privacy contexts, if gone in wrong hands.

Projecting the closing affair, is it the time now to develop robust alternatives or versions of current Turing test to determine the boundaries of highly capable AI systems like google duplex?