Artificial Empathy, Part Two

Artificial Empathy, Part Two

by Glen Drummond
Estimated read time: 6 minutes

Part Two in a two part series

Recently, I published an article with a provocative observation.  While much attention has been devoted to the need for organizations to adopt Artificial Intelligence as a core capability, we should consider an even-more-pressing need for “artificial empathy.”

If you did not read part-one, I’ll retrace some footsteps here. The corporation is a creature of human invention. But the creature has grown so enormously in its size, capabilities ,and power, that we the people now encounter a diminishing sense of agency for ourselves and an increasing sense of agency for corporations to shape our future on issues including privacy, equality, safety, the environment, and the behavior of public institutions that once governed these things. Not to mention the stuff of everyday experience: stupid IVRs, impenetrable clam-shell packaging, and infuriating password implementations, just to name a few.  

The ramifications of this observation extend beyond marketing strategy. But still, people who think deeply about the relationship between people and brands will play a role in how this narrative unfolds.  

And here’s why: In our fast-thinking minds, we perceive the brands that stand for corporations as if they were other people.  

Now, people – except for sociopaths – are naturally empathetic. And moreover, we expect them to be so.  When we sense a sociopath, the hair on our neck springs, and adrenalin shocks our bloodstream.  

As social creatures, we are born pre-wired with miraculously-adapted endocrine and neurological systems that reinforce our empathy in a positive feedback system known as friends and family, community and kin. But corporations are not born with anything of the sort.

Do you see the problem?   

At least in our hearts, we have an expectation for brands to behave in a way that they are poorly equipped to fulfill.  Expectations disappointed are brands diminished. 

Organizational scale amplifies this problem. (We all know what “faceless corporation” means.)   So does the doctrine of maximizing shareholder profits. Are there signs that both society and corporate leaders are beginning to discern that the corporation has gained such power, that the power needs to be matched with greater empathy? The recent “statement of social purpose” by 181 corporate leaders suggest this might be so.       

The question is how?  Some people who read my first post may have been under the impression that I had a plan for  how “artificial empathy” could be created. Rest assured this was far from the case. I’m sympathetic to the aspirations of the customer experience movement, but I’m skeptical those aspirations are advanced by continuing to ask socially clueless questions that amount to: “How do you like me now?”    

Still, having once stumbled upon the problem of  artificial empathy, it’s tempting to speculate. So, with apologies for pairing a ten dollar question with nickel and dime answers, here are some preliminary thoughts.

Biomimicry    

If you’re familiar with the literature on biomimicry – you will know that many industrial inventions  begin with the observation of patterns in nature. Could we re-conceive the information systems used by corporations through this lens?  

In that case,  the challenge of  “artificial empathy” would cause us to think about a system involving a sensory apparatus, a cortex that integrates the signals from the senses, real-time feedback,  amplifier mechanisms and so on.   

It does not take long to see that analogues for each of these things already exist within the information systems of corporations – but what’s lacking is an architecture marshalled by the imperative of empathy.  

For humans as social creatures – empathy is essential for survival.  Embracing the biomimicry idea in an IT architecture geared to artificial empathy would mean  that the selfish subjectivity of the corporation would need to be subjugated to human experience and dignity.   Do we have engineers this creative and leaders this courageous? 

Philosophy

There is a branch of philosophy, “epistemology,” that deals with the question of how we know what we know.  Historically, for corporations, and indeed any large organization, to operate at scale has required that an internal representation of customers and prospects is shared across the organization. Sometimes this internal representation goes out of date. Sometimes it is simply wrong-headed from the start.  Invariably this internal representation is reductive. 

Done well, the disciplines of customer segmentation and personas offer steps in a journey away from the most reductive internal representations of the corporation’s publics. But too often in practice,  people mistake the map for the territory. In a product-centric world-view with no imperative for empathy, mistaking the customer map for the territory is standard operating procedure – “best practice” even.  In a corporation seeking to attain the capacity of artificial empathy these old habits must die.       

While corporations have raced to hire data scientists and put them to work on the analysis of customer behavior and customer responses to various stimuli, they have not been as quick or adept at hiring and training people in the discipline of keeping separate the map from the territory while the study of people is underway.  

The pairing of these disciplines feels important going forward. Data scientists are in demand now.  Data scientists with a flair for philosophy will be the rarest and most valuable of all.   

Artificial Intelligence

Setting aside the semantic arguments about the existence of AI,  we now can access algorithmic tools that can explore data-sets to find multiple features of interest about people, and discover patterns of difference, similarity and prediction that are more subtle than those derived from averages, demographic co-variates, single-touch attributions, and the other mainstays of traditional customer analytics. 

Indeed, if we are going to operate with less reductive representations for people, and if we are going to simulate the biological mechanisms of empathy within a corporation, artificial intelligence may be the disruptive game-changing technology that finally enables meaningful progress against a problem that has been building for some time.   

Final Thoughts

None of these answers by themselves is a prescription for artificial empathy. The confluence of all three may point in a worthy direction.  Still, some journeys are worth taking, even when the destination is distant and the route uncertain.

This might be one.


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Brands Need Artificial Empathy. Here’s Why.

Brands Need Artificial Empathy. Here’s Why.

by Glen Drummond
Estimated reading time: 7 minutes

Part One in a two-part series

Empathy.  It’s such a defining human quality, you could say it’s in our bones. For sure, it’s in our brains. Neuroscience reveals that we have “mirror neurons” that cause other people’s emotional experiences to become our own. That concept would be astonishing if it were not so familiar.   Empathy runs in our veins. The hormone oxytocin – makes us closer to those we’re close with.  

Beyond this, there are the mental gadgets that history has draped on our biology. For instance, our fine-tuned sense of justice, fairness, and balance.  These qualities also incline us to prosocial behavior, such as helping a stranger on the street, supporting a local non-profit,  separating our recycling…

So if empathy comes naturally, why call for “Artificial Empathy?”  (Presuming, of course, that such a thing could even be possible?)  The answer begins with an observation about a trend in scale. Human nature developed over a long period in which there were rewards for co-operation within groups and competition between groups.  But compared to today, the groups were small. It’s not clear that biologically-rooted empathy equips us adequately for the scale-change.    

It’s not merely that there are more of us, although the human population has tripled since 1945.  It’s that the nature of connectivity between us is transformed.   As members of media-fueled electorates, our mood-swings are damaging institutions that took centuries to build.   As members of a global economy, our collective emissions are generating planet-scale impacts on the environment.  

There are broad conversations underway about these forms of our connectivity. Less so about our participation in corporations.   Arguably, no prior form of connectivity rivals the modern corporation’s capacity to pursue its objectives with such speed, scale and precision

And big corporations are getting bigger.  The World Bank reported in 2016 that among the 100 largest revenue-collecting entities in the world, 69 are corporations; 31 are nation-states.  A decade ago, the US Supreme Court awarded corporations a human right: freedom of speech.  The Danish government has appointed an Ambassador to liaise between the midsized nation and giant tech corporations.

If you have spent your career inside corporations, you know there are instances where scale acts as a liability as much as a strength.  The world knows that something went wrong at Volkswagen, at Facebook, at United, at Boeing.   And while the particulars are different, the circumstances rhyme.  A group of people sincerely felt it was their job to do something that the public would come to hate and the owners would come to regret.   What corporation is free from this risk?  

So why does business need “Artificial Empathy?”  It’s partly because natural empathy is poorly matched to the scale of the modern corporation.  And it’s partly because the consumer and the public are not going to let corporations off the hook for un-empathetic behavior.    

Here’s the basis for my confidence in that second observation.  People imagine brands as if they were other people. The marketing practice of managing brands using a system of archetypal characters speaks to this fact.  So does the blow-back that follows when corporations act in notably inhuman ways. There’s even neuro-imaging research that shows we look at logos and faces in surprisingly similar ways.      

So here, in a nutshell, is why brands need artificial empathy:  

  1. Because we imagine brands as if they were other people,  and 
  2. Because we expect other people to be inherently empathetic, so 
  3. We also expect brands to be inherently empathetic too, and
  4. Brands have no natural capacity to fulfill this expectation

This fabric of observations explains a lot. Corporations,  pursuing their interests without paying attention to this prevalent expectation, violate customer trust. And sometimes, public trust too. 

Only on the rare occasion does this violation happen in the dramatic ways cited in the cases of Volkswagen’s emissions masking or Cambridge Analytica’s democracy hacks.   

Far more common are violations so banal they barely register. Robotic voice response systems that remind you: “please continue to hold,  your call is important to us.” Departure lounges that add acoustic assault to the list of insults suffered by air passengers. Manipulative marketing and sales tactics like the email that arrived this morning in my inbox, by no coincidence, at 9:18 AM with the subject header, “9:00 AM Meeting.”   

Viewed through the lens of empathy, (and the lack thereof)  the distinction between the dramatic and undramatic instances becomes only a distinction of degree, not kind. And that observation is potentially helpful because it offers some guidance on what needs to be done.  

Now, you might say, “Ah, you’re talking about customer experience,” and yes, in a way that’s true.  But insofar as the term “customer experience” stands for a department, a performance measure or one in a set of parallel business disciplines,  a “customer experience” capability will only act on symptoms while failing to address the root cause. (Sociopaths are known, after all, for their ability to charm.)

Or, you might say, “Ah, so you’re talking about corporate governance.”  And yes, again in a way that’s true. But how much real capacity do the people charged with such weighty responsibilities have to intervene in the minor daily violations of the customer’s expectation of empathy?  It’s been observed for some time, that “The road to hell is paved with good intentions.”   

Since empathy violations appear to take place despite the ubiquity of “customer experience” and “corporate governance” functions the empathy gap – the delta between customer expectations of empathy and the level of empathy corporations are presently organized to muster – is a real business problem.

It seems like a problem that would be worth taking risks to explore, based on the value of the potential outcome if it could be solved.  

To summarize, let’s retrace our steps.   

  • Corporations are large, powerful, engines of collective influence and action.   
  • They are growing increasingly large, powerful, and influential in the lives of people.
  • People expect them to act empathetically, but corporations have no natural inherent capacity, like people do, to fulfill that expectation.
  • So, we should expect the empathy gap will grow with the power and reach of corporations, until such time as either corporations design a technology of empathy – “artificial empathy” if you will – or face a more concerted backlash directed at individual brands (“United breaks guitars”), at industry sectors (say, “big tech,”) and at corporations in general.   

Despite all the technical progress, investment and hype devoted to it, there remains a debate over whether “artificial intelligence” (AI) actually exists.  The concept of “artificial empathy,” if it were to enter the public discussion, would be subject to a similar philosophical challenge.  

So why talk about it at all? 

Because corporations have plenty of resources for tackling challenges once they can be identified. This one is staring us in the face. 

Since the processes, which we call “artificial intelligence” will inevitably shape more of the experiences that corporations project and customers and the public will absorb, is there any question that the need for artificial empathy will grow with each passing day? 

The conjunction of “artificial” and “empathy” is a provoking framing of a problem that exists. It matters greatly to a corporation’s stakeholders and deserves far more rigorous thinking and effort than has been devoted to it thus far. Rather than being a zero-sum game, “artificial empathy” will be a project that aligns the interests of shareholders, employees, customers, and the public.  Rather than being a departmental problem, “artificial empathy” will require a systems-level response.  

I’ll leave for a subsequent article the questions of how “artificial empathy” might work and what resources it might draw upon.   For now, suffice it to say if corporations need empathy and don’t have it as a natural quality, then the commercial incentive is there to synthesize it. 

The ingenuity and organized effort that has made predictive science – machine learning, deep learning, expert systems, big data, or more generally, “artificial intelligence” –  such an important component of corporate strategy today, provides at least a framing metaphor for this initiative – and maybe some important tools too.   

But intelligence (natural or artificial)  is no substitute for empathy. No matter what strides we make in AI, brands need to make progress now on Artificial Empathy. And if AI begins to make strides on its own, there’s a good chance brands will need to pick up the pace.   


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Why Amazon is the New “Google” for Buying

They’re referred to as the “Duopoly” of online advertising. Facebook and Google account for 75% of the US digital ad spend and almost all of its growth according to Interactive Advertising Bureau (IAB). Facebook reported 45% growth in the last quarter and Google’s parent company, Alphabet posted earnings of $26 billion, 87% coming from advertising revenue.

But are these behemoths about to blindsided by a fierce competitor with a better ROI? We recently completed a consumer research study for a beverage manufacturer that uncovered an interesting trend, one that might tip the scale for advertisers.

Consumers, who had an Amazon Prime account, started their search for a purchase at Amazon 100% of the time. If they knew what they wanted to buy, they went directly to Amazon to search for different brands with the best price and delivery options.

With 85 million Amazon Prime members as of June 2017, it’s not going to take long for consumer brands to discover that if you want to invest ad dollars towards finding buyers with high purchase intent and conversion rates, Amazon is going to be hard to ignore. Although small in comparison to Google and Facebook, only 1% of global ads, it is one of Amazon’s fastest growing businesses, now on track to generate close to $2 billion this year.

Amazon also offers organizations a broad spectrum of advertising products ranging from their ad platform, offering mobile and desktop display and banner ads, to dynamic and coupon ads. Customer campaign pages allow advertisers to create immersive cross platform landing pages which can display more than one product.

With the digital ad market predicted to grow at 16% this year to $83 billion the “Duopoly” will get their fair share, and almost all of the attention, especially considering the growth of Facebook’s Snapchat ad revenue, up 158% in the past year. And that may be just how Amazon likes it. Having a history of sneaking up on competitors…just ask Microsoft and IBM about Amazon Web Services (AWS).

Andy Jassy, the AWS CEO said that in some ways the growth of his business was a classic case of disruption dynamics. “The competition simply didn’t believe there was enough of a market to worry about it. The dominant players don’t have any reason to worry about someone attacking the bottom of the market.” AWS now owns a third of the Cloud Infrastructure Services market, more than three times that of its next closest competitors.

Amazon seems to follow Al Pacino’s “never let them see you coming” advice from the Devil’s Advocate but one executive, Martin Sorrell, WPP CEO’s has noticed. Sorrell  in a recent interview with Bloomberg said, “The company that would worry me if I was a client – or I think worries our clients, more than Google and Facebook – is Amazon.” Smart ad dollars follow consumer behavior and from we just learned, those consumers, are headed to Amazon.

How Endpoint Computing Could Dehumanize Communication

Where does the signal to pull your hand away from heat originate? If your answer is the brain, you’ve already been burned. Instinctively, we pull our hand back without conscious thought, because the response to the stimulus takes a short cut and originates in the spinal cord because of the need for quick action.

According to venture capitalist Peter Levine the need for this same type of short cut may be happening soon with computing. Mr. Levine said that he saw a shift in computing coming from the cloud (centralized) to the return of edge computing (decentralized) because the wave of innovations from IoT, and AI, are driving the need to have decisions made in milliseconds.

As Mr. Levine points out, a connected car is basically a data center on wheels “it has 200 plus central processing units…doing all of its computations at the endpoint and only pass back to the cloud.” Just like you hand doesn’t have time to send a signal to the brain, autonomous vehicles need to react instantaneously to the situation.

Data, insight, and now action, will be moving to the point of engagement in this future view. Now think about the potential challenges that present marketers in staying on brand, and controlling the message with thousands, or even millions, of touchpoints acting independently. Today, the best messaging and value proposition work can (and usually does) go off the track the moment it makes its way to sales and service reps.

Marketers live with the daily issue of cross channel attribution, add cross channel communication to the mix and we better have really good tracking tools! Sure, we can pre-set the messages, designed algorithms to present them at the right moment in the buying cycle, but controlling and tracking the delivery of each message in the context of an overall brand story will be the challenge.

And keep in mind, machines aren’t the only things that learn. As research has shown, the buying process is a highly emotional roller coaster. With machines entering the process we risk driving efficiency at the expense of dehumanizing the experience. As machines learn, we also begin to sense whether we are dealing with a human or a machine.

For example, do you really get the “warm fuzzies” from all those “HBD” messages on Facebook, or the “Congrats on the New Job” on LinkedIn? Machines have been great at helping us be more informed, but they have also have made it easy to turn highly personalized interactions into transactional tasks, void of any emotional connection.

The first wave of machine learning has been about improved efficiencies, productivity, and predictability. As Jeff Bezos stated in his brilliant letter to shareholders,  “Machine learning drives our algorithms for demand forecasting, product search ranking, product and deal recommendations…much of the impact of learning will be of this type – quietly, but meaningfully, improving core operation.”

As the next wave approaches, we should be cautious on how it is applied to the buying process. The focus should be on making humans more human, becoming more instinctive, so potential customers don’t get burned.

6 Tips to Better Market Yourself on LInkedin

Linkedin’s stock opened at $45 a year and a half ago, it now sits at $120.  Unlike Facebook, one of the primary reasons it has done so well is that it found its’ “killer app”early on, and built a business model around it.

For recruiters, Linkedin is the largest (now 200 million members) and most current database of business professionals in the world.  For job seekers, it’s a portal into new opportunities, connections and references.

To learn more about its capabilities as a recruiting tool, we posted an open account supervisor position for our DC office on Linkedin. The resumes have been sent directly to me for the past month.  Unfiltered by a recruiter or HR person, I got a direct shot of the power of Linkedin.  As the hiring manager, I learned a good deal about using the tool, and how job candidates can better marketing themselves for posted positions.

Because of the volume generated by Linkedin, hiring managers have the luxury of trying to find exactly what they are looking for without having to dig too hard to find it.  We quickly scan the email summary and the attachments.  As a result candidates need to:

  1. Read the job description – hiring and HR managers spend a great deal of time defining the role.  Take the time to adapt your resume to highlight those areas that best match what we are looking for don’t make us connect the dots because we won’t…we’re already on to the next candidate.
  2. Customize your cover letter – tell us why you’re the right candidate for the position in the cover letter, especially if you can’t link it on your resume. Make a compelling case as to why we should spend additional time looking at your resume and background.  A generic cover letter is a waste of time and a sure way to take yourself out of the race.
  3. Know that we will check you out – if we find someone we like, we’ll spend time checking your Linkedin profile (beyond the email summary below) our current and former employers, as well as your social profile.  For example, a person that caught my attention was eliminated from the process because I couldn’t find their last two employers on the web.  The learning – companies go out of business or are acquired all the time, make sure your resume reflects or notes that change.  We will “Google” you.  Slide1
  4. Brands count – recruiting firms use key word searches to pull resumes.  As for me, I scanned resumes also looking for those “key words.”  Again, because of the need for speed certain words “pop.”  Brand name companies caught my attention (whether the candidate worked for them or had them as a client).  Schools you attended, the types of skills you have, and your accomplishments, especially if they were award winning.  I also took notice of the number of Linkedin connections and references…it does matter, I’m looking for a good marketer.
  5. Using a connection/s worksleverage your Linkedin connections to find a common link to the hiring manager or job poster for an introduction.  I trust the recommendations of people that I’ve worked with in the past.  As a result, do your homework. The closer the connection to the hiring manager or recruiter the better chance it will get you noticed.
  6. What does not workI found the executive education programs to be confusing.  It took too much of my time to figure out if you graduated or only took a class.  Consider moving the later under skills or experience rather than putting in education.  I also found resumes that were more than 2 pages too long to read.  A summary is a good to have upfront, but don’t go beyond more than a third of the page.  Get into your experience quickly.

Talent is the lifeblood of an agency…for that matter most companies.  What you think, say and produce grows our business.  We need you, and we have jobs.  Help make it easier for us to find you, link your experience and expertise to our needs.  Hurry, I need someone…like yesterday.