Should the FBI prevail in getting Apple to offer a backdoor for an encrypted iPhone, the agency may have trouble getting anyone to build it. At least that's the word from several current and former Apple employees--including security engineers--who spoke anonymously to the New York Times. Some said they're refuse to do the work, or quit their jobs if necessary, rather than create what they believe is a major security compromise for all users. Apple is currently appealing a U.S. District Court order to build a separate version of iOS that would allow the FBI to unlock one particular iPhone 5c. The FBI wants access to the phone of Syed Rizwan Farook, one of the shooters responsible for killing 14 people and injuring 22 others in San Bernadino last December.
One of my favorite moments from the history of science comes from a man whose name may be hard to improve on: Robert Rathburn Wilson. In 1967, in the midst of the space race with the Soviet Union, he became the first director of the National Accelerator Laboratory (later to be renamed, in honor of Enrico Fermi, the Fermilab), the largest particle accelerator of its time. Two years later, Congress's Joint Committee on Atomic Energy invited him to justify its cost, around 250 million. Senator John Pastore, co-chairman of the committee, asked Wilson, "Is there anything connected in the hopes of this accelerator that in any way involves the security of the country?" Perhaps giving him another chance, Pastore rephrased: "Is there anything here that projects us in a position of being competitive with the Russians, with regard to this race?"
Sometimes data engineers do DAD, sometimes data scientists do ETL, but it's rather rare, and when they do it, it's purely internal (the data engineer doing a bit of statistical analysis to optimize some database processes, the data scientist doing a bit of database management to manage a small, local, private database of summarized info (not used in production mode usually, though there are exceptions).
Starting down the path toward any new career in the Artificial Intelligence Industry can be a bit daunting. The way forward isn't always clear, and if you're like other aspiring engineers, you're probably ready to do some internet research and design a plan for yourself to succeed. Luckily, there are many helpful articles and reference points online, and these articles should help you on the road to your best engineering work. This article is a great starting point for fresh engineers because it begins right out of college, in the middle of that transitory phase between the relative fantasy-land of school and the gritty reality of the "real world." The article pulls no punches, reminding engineers that even though they just finished college, they are still just beginning their careers; in a way, they are little more than children in the grand scheme of engineering life.