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Picture tactile feedback and situated computing. That's the year when a revolving cadre of scientists began work on the problem of predicting the outcome of the spin of a roulette wheel. Although lacking the societal import of, say, predicting cancer in a patient, or even poison in a mushroom, predicting roulette seems on the face of it of even greater difficulty. The game itself is designed in every way for unpredictability. The problem is at its core a machine learning problem with a direct physical basis.

Twenty-five years ago I had a dream, a daydream, if you will. A dream shared with many of you. I dreamed of a special kind of computer, which had eyes and ears and arms and legs, in addition to its "brain." I did not dream that this new computer friend would be a means of making money for me or my employer or a help for my country-though I loved my country then and still do, and I have no objection to making money. I did not even dream of such a worthy cause as helping the poor and handicapped of the world using this marvelous new machine.

From Google to Microsoft to Apple and possibly Samsung, AI is almost the buzzword in the smartphone space as well. But as these systems get more powerful and begin to do more, there is a need to make sure that they are not used by authoritarian regimes and then target certain populations. At the ongoing South by South West (SXSW) event in Texas, USA, Microsoft Research's Kate Crawford explained her point on view on the AI scene and how it makes for an ideal excuse to teach these humongous data systems the wrong ideas without any accountability. The Guardian reported the researcher's take on artificial intelligence, hinting at the rise of ultra-nationalism, right-wing authoritarianism and fascism, thanks to the widespread use of these systems. However, it is not the use of these systems, but the way in which human biases are encoded into them that leads to their misuse when they fall into the wrong hands.