4 ways to thrive in the robotic age without losing your humanity - an HfS FORA keynote review

Jon Reed Profile picture for user jreed March 23, 2018
Summary:
One of the most memorable keynotes of the year came via Tim Leberecht at HfS FORA New York City, which contrasted the robotic age against the need for business romantics. Here's why Leberecht's keynote mattered - and my critique.

finger-touching-robot
"How to Thrive in the Robotic Age Without Losing Your Humanity" was not your typical bloated enterprise keynote. In around 30 minutes, Tim Leberecht jolted an audience of operations experts at HfS FORA New York City.

Though I have some minor intellectual quarrels with Leberecht (more on that in a bit), he places machines and humans at a crossroads we need to reckon with. He also has unusual advice for enterprises, with an unexpected concept - bringing romance to business. Leberecht, who is the Co-Founder and Co-CEO of The Business Romantic Society, has honed his thinking via a bestselling book on the business of romance, and a highly viewed TED talk.

Mix operations and romance at your peril. Leberecht joked:

I kind of feel like I'm in the lion's den.

Don't get stuck in corporate environments that stifle creativity and self-expression

Leberecht concedes that fusing romance with business isn't easy:

It's hard. It's hard to find that beauty and romance in business. Partly because many of us are stuck in corporate structures that stifle creativity, stifle self-expression and purpose.

We're not talking about romantic love in the workplace here:

Romance is, for me, experiences of awe and wonder. Experiences in which a heart beats faster.

Actually, that's a lot harder for businesses to achieve than a workplace romance. Leberecht spoke to our digital disillusionment:

We dreamt of a more democratized world where everybody was connected. And what did we get? Facebook.

But tech's dark side hasn't slowed the onset of the so-called "Fourth Industrial Revolution," where AI, blockchain, and other "exponential technologies" are emerging:

As some of the panelists already mentioned, AI has come a long way since 1996 when IBM's Deep Blue technology beat Gary Kasparov, the reigning champion in chess, for the first time.This is a real wake up call, I think, when the broader business mainstream and the public recognize, "Wow, AI is coming, and it has tremendously disruptive potential."

Process automation is a potent/narrow AI use case, but that's not the end of it:

Over for the past few years, something else has happened. AI is no longer just an analytical force to be reckoned with that's focused on process optimization. It's now also invading turf that we actually had considered inherently human. Emotions and creativity.

To prove the point, Leberecht played an AI creation based on the music of the Beatles. To me, that example proves the opposite, but Leberecht's other slides spoke to the power of machine learning at scale. That's something humans can't hope to compete with:

  • AI can learn languages in hours - "Deep speech technology can learn a new language in about two to three hours, virtually without any human oversight or intervention."
  • AI can write (to a degree) - "Associated Press estimates that about 20% of all journalistic tasks can already be automated."
  • AI can chronicle our lives - "There's an app called Ghostwriter that [lifestreams] based on the stream of data that we produce; it serves as a quasi-biographer of our lives."
  • AI can dream - "This is a rather psychedelic experience, based on Google's DeepDream technologies. Essentially a neural network that is run in reverse."
  • AI can auto-create ML - "About six months ago, Google made an breakthrough announcement, AutoML - auto machine learning. AI can now train and create its own AI."

That adds up to a caution for humans punching virtual time cards:

We have reason to be worried.

Leberecht cited surveys about the future of human work, including the hotly-debated Oxford study, predicting 50 percent of the human workforce are "at risk" of automation in the next twenty years. A slide from MIT and BCG breaks it out by industry:

ai-industry-impact

AI industry impact slide from the World Economic Forum web site.

The biggest human risk? Becoming inferior machines

It's not the potential job threat that concerns Leberecht the most. He quotes Andrew McAfee:

AI is not going replace humans. AI is going to replace those humans who cannot work with AI.

Leberecht warns that if we chase machines from behind, we'll lose track of our humanity:

What is more concerning, I believe, is in our desperate attempt to catch up with ever-smarter machines, that are more efficient than us naturally, we turn into smart machines ourselves. We surrender to this regime of efficiency to self-optimization. Quantifying everything in order to maximize it and optimize it. And this obsession with the quantification and the optimization of everything has infiltrated the most intimate, the most private aspects of our life.

He pointed to a humorous example, an app called Spreadsheets "that promises users to enhance their sexual performance based on a rigorous analysis of past performances." A more unnerving example: the Don't Worry, Be Happy writing app that tracks your facial expressions. If you stop smiling while working, it deletes all the progress you've made over the last hour. (I would have had to start over a few times already).

Leberecht is fighting back. He challenges businesses to step it up:

We need a new romantic movement. This time coming from the heart of business. This time in response to the disenchantment caused by the datafication, quantification, the machinization of everything. Romance is what makes us human against a backdrop of automation and AI. And romance is also the ultimate differentiator when everybody else is just racing to maximize and automate.

He's not alone. At the World Economic Forum, Jack Ma of Alibaba made similar remarks, calling for a different education for young people:

You may have seen it a few weeks ago where Ma made a real pledge for a new emotional education. And he said, the skills we really need are emotional skills. We cannot teach our kids to compete with the machines which are smarter. We have to teach our kids something: you need love - something that machines will never have.

The need for an "emotionally intelligent" curriculum resonates, but companies need more. As Leberecht put it:

How do you operationalize romance?

4 ways to thrive in the robotic age

Leberecht sees four elements:

  • do the unnecessary - a Steve Jobs anecdote via Leberecht's years at Frog Design: "Jobs insisted on design the interior of the computers with the same love, the same passion, the same rigor as the exterior. And Jobs said, 'Well, the customers don't see it, but they can feel it'... If you cut the unnecessary, the seemingly small, you cut your culture."
  • create intimacy - We check our smart phones at 80 times a day, yet statistics show we've never been lonelier or more isolated (one study found the average American has only one close friend). Leberecht believes businesses can learn to "design for intimacy" - outside-the-box hires of creatives can help here. He spoke of Zappos and how they reward their call center reps, not for amount of calls for hour, but time spent on the phone with a particular customer, e.g. "thick time, rather than just efficiency."
  • embrace the other - "Data is the holy grail. Whoever has the data, wins. The more we know, the better we can deliver and serve our customers. Radical transparency is what customer's want." You can't embrace-the-other without empathy and diversity: diversity of backgrounds and skillsets. "It's about giving those contrarians and romantics and fools in your organization a voice. Giving them a platform to project alternative realities, new ways of imagining the future of your organization."
  • suffer - Perhaps the least business-friendly concept of the four. "I'm sorry to break it to you, romance is not identical with convenience, it's not harmony, it's not happiness. If you have skin in the game, there's a dark side to it. We suffer a little." Leberecht concedes that ultra-convenience, like Amazon one-hour delivery, is a big part of what businesses are driving for. But he says what customers really crave are experiences - and those have rough edges. That's why we'll wait in line for a chance to look at Amazon Go - a line-free store. "There's only one thing that trumps efficiency and convenience, which is experience. Humans crave experience." Leberecht made a provocative point about designing mistakes and flaws into your experience to make your brand more human.

My take

Numerous HfS FORA attendees tole me they were struck by Leberecht's keynote. To reach an operations crowd with talk of "business romance" is no small achievement. When you pull the arguments apart, there is a lot to think about:

Humans shouldn't try to do what machines do well at scale - agreed. Humans should excel at working with machines, but they should also view automation as an opportunity to "become more human," if that shorthand works.

Machines are taking over many things we associate as human - yes and no. Repetitive, predictable, and/or high scale work? Definitely. Other stuff? Gradual at best. I thought Leberecht's Beatles example worked against him, proving that creativity is an area where humans still have a distinct edge. Yes, machines can make something that approximates a Beatles song, and it might be acceptable enough to sneak into a Walmart playlist, but how many are actually listening to it on their iPhones?

If we're talking about romance and love, I think we can also talk about soul. That machine song has no soul; Beatles songs do. Soul glues us to moments in time we would never trade, and if businesses need more of that - which I believe they do - only humans can help them there. Machines might be able to help with call center hold music though.

Machine's can't love - no, nowhere close yet, but can they simulate love on behalf of their human subjects? Example: in a recent survey of Alexa users, a surprising percentage said they considered Alexa a "friend," and Alexa is pretty tone deaf emotionally. At this early phase of "general AI," I've appreciated the loyal companionship machines can provide - far more than their ability to mimic Beatles or black metal songs.

I believe emotional intimacy - as defined by the human who is interacting with the machine - is a much lower bar for machines to achieve than truly compelling creativity. Whether it's healthy for me to have an emotional connection to my old GPS with the sarcastic Daria voice, or whether it's healthy for men to date an app called Rinko instead of a real woman - that's a different conversation. The point is that it's already feasible. As for loving someone/something who doesn't truly love you back, well, that's the epitome of romance for many.

Companies are too stifling and quant-obsessed. Give diverse voices a platform. Hire humans with a creative/humanities flair to spark new ideas. Yep.

Design mistakes and flaws into your brand to humanize it. Not sure about that - brands make enough mistakes as it is. Leberecht is right, but we humanize our brand by how we respond to those mistakes (see: KFC's self-deprecating and forthright apology for their chicken shortage crisis).

I like the idea of bringing romance to business - if I stick with how Leberecht defines it, in terms of awe and wonder. I define romanticism in a more tragic way, and businesses really can't stomach the tragic. However, I don't like the idea of encouraging individual humans to be more romantic. Right now, I'd like to see humans become less emotionally preoccupied, and significantly more media literate. True critical thinking is what's missing today.

During his talk, Leberecht said:

There's a beautiful quote by the author F. Scott Fitzgerald, "The sign of a first rate intelligence is the ability to hold two opposing ideas in mind at the same time and still retain the ability to function." Is AI good at that? Not sure. Humans are very good at that.

Yes, humans can be very good at that. But are we? The American political discourse certainly implies otherwise. We categorically reject as "fake news" that which we disagree with - a sham of true critical inquiry (and self-inquiry). If we don't make a serious effort here, I could see machines having a higher tolerance for ambiguity than humans in the not-too-distant future.

Leberecht referenced this World Economic Forum skills ranking, which was updated with the human/machine workforce in mind:

wef-job-skills

image via the World Economic Forum ten skills you need to thrive in the Fourth Industrial Revolution

To be fair, Leberecht did mention critical thinking as one of the skills humans should aspire to. But I would elevate it. I like the business-as-romance model, not as a boilerplate, but as a welcome debate. And as for hiring more liberal arts/humanities grads, I only wish that message was out when I was pounding the pavement in the 1990s. But as Leberecht would say, suffering leads to irreplaceable experience.

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