Transparency 4.0- Why AI in the Workplace Will Force Us to Tell the Truth
Are we ready for AI and robotics in the workplace? First, we need to be more aware of its presence and power in general, and then we probably need a major adjustment in our natural survival instinct to shade the truth when it suits us. We may be heading into the Workplace 4.0, but we’re still thinking in terms of us and that. But that has a binary relationship to facts: either it happened or it didn’t. It’s one aspect of the transformation we need to prepare ourselves for a lot more; we’re going to have to tell the truth.
I was considering this as I self-checked out of a big box store the other day. In front of me was a man wearing a Fitbit who was busy multitasking. He was coaching his kid on his smartphone on how to use Alexa, and without paying attention, he double-scanned a bottle of milk. When the clerk came over to cancel the transaction, the man claims he didn’t swipe it twice. “The scanner says you did,” the clerk said.
While we’re nearing the functional tipping point in using AI and automation, are we ready for the honesty shift? Recently, a fitness tracker and Alexa were involved in solving murders, surely an unintended consequence — at least from a consumer standpoint. A Connecticut woman’s fitness tracker gave police the evidence that backed up their hunch about the lying husband. He said they were struggling with an intruder, but the tracker proved him wrong: it had tracked her on that fatal day walking around the house. A man in Arkansas mistakenly asked Alexa some very incriminating questions about cleaning blood off an object after committing murder in a drunken rage. Alexa doesn’t just listen; she gathers the data. And the data doesn’t forget or lie.
The point is the devices are smarter than we think. They are designed not to lie — so while we can, let’s get better at telling them the truth. This is where the workforce is going to have to adapt the most. We’re going to have to get used to being honest, or we may lose our jobs in more ways than one.
According to McKinsey Global’s recent report, some 60% of occupations and 30% of tasks could be handed over to robots. The kinds of jobs we’ll likely see automation taking over from humans will be those that entail physical tasks in structured, predictable environments — such as manufacturing, retail, hospitality, and food service as well as those involving data collection and processing. Of some 2,000 job tasks we do globally, McKinsey found that nearly half — about $16 trillion in wages worth—could be automated using technology that already exists.
That probably means that certain single-skill jobs are going to go out the virtual window. It also may mean we will finally start to appreciate the other skills we tend to have, our soft skills — our social perceptiveness, empathy, and communication. We’re need to start understanding the value of natural intelligence differently. Same as we want organic produce, we may post job descriptions that specifically require “NI” versus “AI.” But certain ways we operate will be incompatible. The more interdependent we are with cognitive machines, the more exposed we are. AI and robotics may free us to be “more human” in our jobs, and enable us to flex our soft skills more frequently, but it’s not going to give an inch where we live.
The new workplace is going to shift the concept of transparency to reality, whether we want it to or not. And this may change our work culture in ways we don’t yet understand, forcing some interesting management approaches.
Let’s think about this. Not only do organizations need to reconsider how they design jobs, structure work, and strategize for the future, they also should have a transparency policy that understands we’re only human.
Photo Credit: jillpostema Flickr via Compfight cc
This article was first published on fowmedia.