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To automate, or not to automate? Writers, attorneys, and financial advisors on the line

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.

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.

To automate, or not to automate? Is there value to the human element?

A Glimpse of the Future 

Last week I took a first look at some of the jobs that have been increasingly moving over to automation, and a few that might see more automation and fewer humans doing the work in the future.

In some cases this might not be a bad thing. In other cases, the robots may not do as good a job as humans might. A couple of cases-in-point leap to mind: bank tellers and retail store checkers. Which do you prefer?

Love ’em or hate ’em (I know people who feel both ways), these machines seem here to stay.

I’m older than dirt, so I remember before they had such contraptions. I remember having to plan to get money before the bank closed for the day or weekend, and how you always talked with a human being before you could complete any transaction.

I kind of liked it (confession: I still don’t own an ATM card, out of security concerns. Planning ahead: it’s a thing.), but then, I live in the Midwest, where bank tellers and grocery store checkers are apparently friendlier than they are in some other parts of the world. I like to get to know them, in the fond hope that if someone they didn’t know came in and tried to wipe out my bank account, they’d question it. I feel quite certain my bankers at Kansas City’s Country Club Bank would. Thanks, guys!!

I also remember before there was a self-checkout line at the grocery store. I even remember before they had bar codes on the groceries (what a pain that was!), and you had to watch the checker to make sure s/he didn’t make an error or ring something twice that you only bought one of. Of course, now when the machine steals your ATM or credit card information, you have few ways of knowing, so is that a net gain? Depends on for whom, I guess.

There’s reportedly now a trend toward automating fast-food service, unfortunately driven in part by the industry’s resistance to paying its employees a living wage. I can see how an automatic timer to pull the fries out of the hot oil at the penultimate moment might be a good thing, but completely removing all or most of the people? That’s a farther stretch for me.

You see, we’ve actually had automated fast-food delivery for a long time. They’re called vending machines, and they aren’t actually noted for their-high quality products or their ambiance.

Granted, Mickey D’s isn’t long on “ambience” either, but I kind of like to chit-chat with the smiling teens or senior citizens at the counter. Call me weird, but I prefer dealing with people, over figuring out the interface on yet another dang gadget. I’ve kinda perfected the human interface, at least to some extent, and I have this weird notion that people should be respected, even when they have low-end jobs.

An automated fast-food “restaurant” looks an awful lot like a glorified vending machine to me.

As I see it, the whole key should be playing to strengths. Robots and automation do some things way better than people. Business Insider interviewed Ryan Calo, a professor at University of Washington School of Law with expertise in robotics, who said, “For a long time, artificial intelligence has been better than us at highly structured, bounded tasks.” All of the applications we’ve looked at so far in both this and the previous post on this topic have been in that category.

Calo thinks, however, that robots are now, or soon will be, capable of moving beyond “the three D’s: dangerous, dirty, and dull.” It’s a fine line to define (sorry for the rhyme), so where do we draw it? If robots and automation can lift us beyond those “dangerous, dirty, and dull tasks,” isn’t that a net gain? I think it definitely is. If they can ever design a Roomba that cleans the potty, I’m all in!

Ivan Fourie encountered this friendly store clerk in Kyoto 2006, and immortalized her in a photo.

But people right now (and for millennia) do/have done way better at some things than robots and automation have managed so far. The determination to push automation/artificial intelligence beyond those basic limits won’t stop. (we’re talking about humans with an intellectual challenge. Of course they’ll pursue it as far as they can).

But just as industry doesn’t want to talk about the full cost of their initiatives (including environmental and human damage), so the people involved in the “second machine age” don’t want to talk about ALL the costs of their initiatives.

Are these Chinese robots cute enough to be worth their cost in human devaluation? Are they worth the effort of putting “friendly store clerk” and her siblings all over the world into financial devastation?

Would their AIs put good people out of work that they need? Don’t we all need people who are a positive part of their community? The friendly 7-Eleven clerk who brightens our morning? The bank teller who keeps our accounts safe? The shopkeeper who grows her small business locally? The first-generation immigrant family who runs the gas station? The custodian who keeps the school clean and well-maintained?

What’s the human cost of the fancy machines? Do they make life better for the humans in the community, or only for the corporations running the businesses?

I think we’re at a crossroads, in our contemporary life. We can look globally at ALL the costs of the decisions we take, or we can keep on looking only at money in a system skewed to ignore some of the most important costs of all.

Our choice.

Our future.

IMAGES: Many thanks to Before it’s News for the future-vision graphic. The photo of the Safeway self-checkout is courtesy of WonderHowTo, and the photo of the ATM machine is from The Northeast Today; many thanks to both of you! The cynical minimum wage meme is from Ron Paul’s “Liberty Report.” Your thanks is that I acknowledged where it came from, dude. You certainly illustrated my point, anyway. Many thanks to NPR’s “All Tech Considered” for the photo of the automated fast-food restaurant. I am grateful to Ivan Fourie’s Flickr Photostream for the the friendly store clerk’s photo. Many thanks to Business Insider for the photo of the Chinese food service robots.

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