chatbot onto twitter. it was called tay, and it was mimic a young teenage girl that -- the a.i. robot was supposed to interact with millennials and learn how to engage mimic a young them on on twitter. this experiment was horribly wrong. if you didn't see about this in the news. within 24 hours, this pleasant teenage chatbot turned into a racist, abusive, sexist entity and microsoft removed it from the internet within 24 hours of releasing it and apologized profusely about the event. and the important thing here is that, they didn't anticipate this was going happen, some of the news that was explained what was going on blamed us as humans for being horrible people on twitter and turning this cute little chatbot into a horrible mess. what you might not realize is hat microsoft didn't do this unknowingly. they had a similar type of chatbot called that was being used for two years previously, very successfully in china. and it was interacting with as many as 40 million people. and so what was really the difference between when they rolled it out in china versus when they rolled som

these are the precursors of what is being used in chatbots. the ai system would have to figure out how to make a response to them. one of the first examples of this was the system which was invented in 1964. this was really built as a parody of a psycho therapist. what would happen, what the system would do is it would interpret what the user would put in processing the language and then picked responses based on certain templates that they had in the system. and if you were going to parody you can imagine a lot of answers were things like how do you feel about that? and tell me more, things like that. at first when he created this system he cross-appereally crea show how difficult the problem of interacting with humans would be and he was actually surprised at how many people actually were fooled into believing this was a human. really this jump started work in that field. let's see. okay. so how do these basic systems work? i think this has maybe died. let's consider the checkers scenario. really it reflects how you yourself learn how to pla

we've built a chatbot which can communicate with customers, so whenever you log a ticket or a query witht my cheque—book has not yet come in, now instead of a person being at the other end who will understand your query then figure out what to do, it is an artificial intelligence engine. that whole replacement is going to really change the way people are hiring now and the numbers there are hiring. you may see by 2020, i think, 100% automation on the low—level processes. things like opening an account, signing up for insurance, all these things which required human checks and validations can sort of be automated already. so how bad is the situation actually on the ground when it comes to creating jobs? well, to discuss that we've brought together a panel of guests — manish sabharwal, chairman of recruitment firm teamlease, kiran mazumdar—shaw, chairperson of biopharmaceutical company biocon, and mr dilpreet singh, who is the vice president of human resources at ibm india and south asia. thanks very much for being here with us today. i am going to start with you. so how bad is the situati

three, chatbots. systems that you interact with via text will get much more sophisticated in 2017.here are already ones that will handle your travel plans or tell you the weather, but think about ones that you think will monitor your health or spending. four, phones go wireless. expect to have even more ways to charge all your mobile devices without using cables. and five, amazon's alexa is already being used to lock your car, read a book, or make purchases. in 2017 expect to also see it shop at public places like your bank or local grocery store. >>> pleasure to meet you, chair onthomas. pleasure. so look. in the dining industry there's a gazillion choices where to eat. we've all been there before. where do you want go? i don't know, where do you want to go? no more arguing. instead of arguing you bust out spotluck, a free app. you get one spin per day, we pick a great local spot for you and give you the discount. it's a smart discount so we patented software that makes the discounts change based on day, time, weather, and other factors that affect restaurant occupancy. you'll get