Warming the general public to these visible and interactive forms of artificial intelligence has certainly been facilitated by the development of virtual assistants such as Siri, Cortana and Google Now. These programs were created to automate actions that imitate human behavior as closely as possible, to such an extent that they may not only be useful for enterprises. They can also help us, as individuals, save time and energy by eliminating tedious tasks — like wishing a friend happy birthday on Facebook.
An exaggerated claim? Not according to Irene Chang, a developer who recently unveiled the Chat bot club, a prototype which can take over control of your Facebook Messenger when you’re out of time — or motivation.
Little by little, automated intelligence will begin to complement our daily lives, making its way into our conversations in order to help us save time and focus on what matters.
The question then arises: How do we make the distinction? How will we be able to differentiate between actions and messages generated by humans and those coming from automated programs? A kind of invisible Turing (or Voight-Kampff) test to help us understand who we’re really talking to.
For many enterprises, the ability to distinguish between various forms of automated activity and true human behavior gradually becomes a necessity. For while chatbots and search engine bots can help businesses prosper, all bots were not created to support and benefit everyone, from the developer to the consumer.