Androgamer

                      PREVIOUS CHAPTER Chapter 12 | The Ethics of AI-Powered Applications The Ethics of AI-Powered Applications Why do we need to talk about ethics in the context  of AI-powered applica- tions? Isn’t it just like any other  piece of software  or  any other  machine? Aren’t the rules that are already in place enough to cover us? Is this about machines taking over the world!? Let’s start with the last question. No, this is not about machines taking over the world. There are, undoubtedly, hugely interesting ethical considerations that we will have to tackle if and when we get to the point of having machines that  act autonomously with artificial general intelligence. However, as we already discussed in Chapter 2, there is no immediate worry of that happen- ing and even if it somehow did happen, this is not the book that is going to tackle the ethical concerns raised. T...

                         PREVIOUS CHAPTER Chapter 11 | Defining an AI Strategy Mobile-first is simply one of the sensible pillars of anything digital and not a huge achievement. There is no need to have it be the defining, outward facing strategic statement  of the company. It’s business as usual. With the 2017 AI-first announcement, Google was recognizing publicly that there was a new opportunity on the horizon and new challenges to overcome. The opportunity revolves, once more, around meeting users’ expectations and demands. Users are now savvy digital citizens. We all expect a whole new level of sophistication from our  devices, especially as we catch glimpses of how things can work better  and are no longer mystified by digital services. It’s not enough to simply have access to the service from any device or for that service to be reliable. The more technologically savvy tech companies are demo...

                            PREVIOUS CHAPTER Chapter 10 | From Data to Understanding Silicon Valley companies, with the likes of Google leading the charge. The clas- sic anecdote  that  symbolizes their  reliance on data is how Google ran an experiment  to  collect data on what shade of blue (out  of 41 candidates2) would be most appropriate for a button. A designer who left Google because of these types of behavior said it was an indication of the lack of appreciation of intuition and creativity, necessary preconditions for innovation in design.3 Data-driven AI techniques have only exasperated the issue and strengthened the argument of those who call for every decision to be data driven. A favor- ite statement to throw around in these data-obsessed times is that data is the new oil.4 It should be treated  as a commodity that an organization drills for, extracts, transforms,...