A Glimpse of the Future?
My recent mid-week posts have focused on the phenomenon of automation in the contemporary workplace--that is, "machines taking over our jobs," and looking at trends for the future.
Last week, I tackled robotics and automation in the health care industry. Today I'm focused on the symbolic logic crowd, that is, people who mostly traffic in numbers and letters. Thus, I'm looking at writers, attorneys, and financial advisors.
They're all white-collar jobs, and aspects of each require judgement, creativity, and empathy--but other aspects "turn out to be routine and process-based." That's just the kind of thing computers do best.
Last week, I tackled robotics and automation in the health care industry. Today I'm focused on the symbolic logic crowd, that is, people who mostly traffic in numbers and letters. Thus, I'm looking at writers, attorneys, and financial advisors.
They're all white-collar jobs, and aspects of each require judgement, creativity, and empathy--but other aspects "turn out to be routine and process-based." That's just the kind of thing computers do best.
But writing? Law? Higher-level financial analysis? Well, yeah. With caveats.
Writing
This one kinda hurts, but certain types of data-heavy information can pretty readily be transformed into prose using a process Klint Finley of Wired describes as "a more complex version of Mad Libs meets mail merge." Two companies, Automated Insights and Narrative Science are the main contenders in the field at the moment.
The primary uses for this software so far have been in the areas of financial news, sportswriting, and industrial communications. Organizations such as the Associated Press and Fox News have discovered it is (big surprise, here) "considerably less expensive for us to go this route than for us to try to have our own beat reporters at each one of these games," (That's Michael Calderon, Big Ten's director of new media, speaking with Bloomberg Businessweek).
But of course it's expanding. As a science fiction novelist, I'm under no illusions. Some genres are more friendly toward "formulaic" plots than others (I'll leave you to judge which ones those might be), but I'm sure the day is coming soon when you'll be able to plug in certain character and plot elements and the software will crank out a complete "novel" or "short story."
On the other hand, we're still very far from a computer that can go into a war zone and make sense of the chaos, write a meaningful human-interest article, or build an exposé, piece by exacting piece. And so far we're still unable to distill that special "something" that transforms a novel into a mega-bestseller that strikes a chord in millions (if we could, they all would be). We still need human hearts and minds (and a lot of luck!) for that.
Legal Practice
Turns out there's a lot of mundane drudgery in the practice of law, and untold numbers of documents to review. Firms used to have no choice but to hire a fleet of lawyers and paralegals to review them, but now there's software to cover that angle. As attorney Bill Herr pointed out to the New York Times, "People get bored, people get headaches. Computers don’t."
As in the case of doctors, however, you needn't look for robots to start donning barristers' wigs or delivering closing arguments in court for a while to come, though I fear the pioneering efforts on that front may come in the form of legal-aid robots for the defense of low-income criminal defendants. Would that be found to be constitutional? (And what would the originalists think of it?)
But behind the scenes, computers are already hard at work. For now, they're probably cutting down the entry level jobs for lawyers, but their best potential is to save the efforts of the humans for the things that matter most.
Financial Industry Professionals
Stock trading has forever been transformed by computer-based algorithmic trading, in which high volumes of stocks are traded "using automated pre-programmed trading instructions accounting for variables such as time, price, and volume."
However, as you've probably extrapolated from the section above that discussed financial writing and business communications, automation has gone much farther since the first automated trading systems went online in the 1970s and '80s. With all the things they can plug into algorithms these days, have humans become superfluous?
Well, maybe not yet.
Assuming one is fortunate enough to need guidance for investment strategies, we're still short of a technological singularity, which would place a computer in possession of all the critical thinking, synthesis, and empathy needed to serve human laypersons who have other things to do with their time besides manage their stock portfolios.
Till then, I'd still advise checking with a well-trained, credentialed human.
IMAGES: Many thanks to Before It's News for the "future vision" graphic, to ResearchPedia.Info, for the "difference between stock market and stock exchange" photo montage, and to Sports Management Degrees for the graphic of the football with data behind it. I am grateful to the Criminal Lawyers and Attorneys organization for the courtroom photo, and to The Balance for the photo of the financial advisor with her clients.
Writing
This one kinda hurts, but certain types of data-heavy information can pretty readily be transformed into prose using a process Klint Finley of Wired describes as "a more complex version of Mad Libs meets mail merge." Two companies, Automated Insights and Narrative Science are the main contenders in the field at the moment.
The primary uses for this software so far have been in the areas of financial news, sportswriting, and industrial communications. Organizations such as the Associated Press and Fox News have discovered it is (big surprise, here) "considerably less expensive for us to go this route than for us to try to have our own beat reporters at each one of these games," (That's Michael Calderon, Big Ten's director of new media, speaking with Bloomberg Businessweek).
But of course it's expanding. As a science fiction novelist, I'm under no illusions. Some genres are more friendly toward "formulaic" plots than others (I'll leave you to judge which ones those might be), but I'm sure the day is coming soon when you'll be able to plug in certain character and plot elements and the software will crank out a complete "novel" or "short story."
On the other hand, we're still very far from a computer that can go into a war zone and make sense of the chaos, write a meaningful human-interest article, or build an exposé, piece by exacting piece. And so far we're still unable to distill that special "something" that transforms a novel into a mega-bestseller that strikes a chord in millions (if we could, they all would be). We still need human hearts and minds (and a lot of luck!) for that.
Legal Practice
Turns out there's a lot of mundane drudgery in the practice of law, and untold numbers of documents to review. Firms used to have no choice but to hire a fleet of lawyers and paralegals to review them, but now there's software to cover that angle. As attorney Bill Herr pointed out to the New York Times, "People get bored, people get headaches. Computers don’t."
As in the case of doctors, however, you needn't look for robots to start donning barristers' wigs or delivering closing arguments in court for a while to come, though I fear the pioneering efforts on that front may come in the form of legal-aid robots for the defense of low-income criminal defendants. Would that be found to be constitutional? (And what would the originalists think of it?)
But behind the scenes, computers are already hard at work. For now, they're probably cutting down the entry level jobs for lawyers, but their best potential is to save the efforts of the humans for the things that matter most.
Financial Industry Professionals
Stock trading has forever been transformed by computer-based algorithmic trading, in which high volumes of stocks are traded "using automated pre-programmed trading instructions accounting for variables such as time, price, and volume."
However, as you've probably extrapolated from the section above that discussed financial writing and business communications, automation has gone much farther since the first automated trading systems went online in the 1970s and '80s. With all the things they can plug into algorithms these days, have humans become superfluous?
Well, maybe not yet.
Assuming one is fortunate enough to need guidance for investment strategies, we're still short of a technological singularity, which would place a computer in possession of all the critical thinking, synthesis, and empathy needed to serve human laypersons who have other things to do with their time besides manage their stock portfolios.
Till then, I'd still advise checking with a well-trained, credentialed human.
IMAGES: Many thanks to Before It's News for the "future vision" graphic, to ResearchPedia.Info, for the "difference between stock market and stock exchange" photo montage, and to Sports Management Degrees for the graphic of the football with data behind it. I am grateful to the Criminal Lawyers and Attorneys organization for the courtroom photo, and to The Balance for the photo of the financial advisor with her clients.
No comments:
Post a Comment