The way I build a human team depends upon the purpose of the team.
Sometimes I need a team with skills nearly-identical to my own. Sometimes I need a team with widely varying skills. Sometimes I need a little bit of both – I need subject matter experts with deep knowledge in a specific area who also have other skills and insights acquired through different professional experiences.
Sometimes I like to include a totally new perspective – perhaps a new hire or trainee or novice or someone from an entirely unrelated discipline because they may see things in a way that the rest of us can’t see or ask a question that the rest of us wouldn’t ask.
Would I do the same things if I were building teams of people plus machines? For example, would I select multiple machine-learning systems that were written by different programming teams and that implement differing algorithms in order to gain diverse machine insights?
Technology changes the nature of work. It always has in one way or another. And now it is changing the nature of what we mean by “working in teams.”
We are in a new era where many human workers have, or soon will have, cognitive co-workers (i.e., machine learning applications). This pairing of person and technology creates a human-technology team that will work problems together. The effect that such teaming has on the human team member is something to be studied.
Beyond that, there will also be teams of such teams, i.e., my cognitive co-worker and I will work with your cognitive co-worker and you to achieve mutual goals. Is there anything to that dynamic that might create teamwork challenges?
It’s something to think about.
Rapid technological change has opened up interesting new areas for research. Just consider the degree of sophisticated interaction that is already occurring between human beings and machines, then extrapolate from that and consider where we will be in five, or ten, or twenty years.
How will this new dynamic, this rapidly evolving human-technology frontier, affect us as people? Can we guess? Can we discern changes already? Where are we headed? What are the implications? What are the possibilities? Will it lead to new ways of organizing ourselves, new ways of educating ourselves, new ways of defining ourselves?
This is a broad and fascinating area for study and one that will demand multidisciplinary research teams in which the non-technological disciplines are well represented – and I include here not only the behavioral sciences, which are, of course, essential, but also specialists in communication, education, and the humanities.
I recently read Garry Kasparov’s latest book, Deep Thinking – Where Machine Intelligence Ends and Human Creativity Begins. It was hard to put down. I thoroughly enjoyed it, being interested in virtually everything he addressed: AI, machine learning, the societal implications of technological change, and, of course, chess.