Название | Leadership by Algorithm |
---|---|
Автор произведения | David De Cremer |
Жанр | Маркетинг, PR, реклама |
Серия | |
Издательство | Маркетинг, PR, реклама |
Год выпуска | 0 |
isbn | 9780857198297 |
22 Dawes, R. M., Faust, D., & Meehl, P. E. (1989). ‘Clinical versus Actuarial Judgment.’ Heuristics and Biases, 716-729.
23 Kleinmuntz, D. N., & Schkade, D. A. (1993). ‘Information displays and decision processes.’ Psychological Science, 4(4), 221-227.
24 Adams, I.D., Chan, M., Clifford, P.C., et al. (1986). ‘Computer aided diagnosis of acute abdominal pain: A multicentre study.’ British Medical Journal, 2093, 800-804.
25 Beck, A. H., Sangoi, A. R., Leung, S., Marinelli, R. J., Nielsen, T. O., Van De Vijver, M. J., & Koller, D. (2011). ‘Systematic analysis of breast cancer morphology uncovers stromal features associated with survival.’ Science translational medicine, 3(108), doi: 108ra113-108ra113
26 Grove, W. M., Zald, D. H., Lebow, B. S., Snitz, B. E., & Nelson, C. (2000). ‘Clinical versus mechanical prediction: A meta-analysis.’ Psychological Assessment, 12(1), 19-30.
27 Maidens, J., & Slamon, N.B. (2018). Abstract12591: ‘Artificial intelligence detects pediatric heart murmurs with cardiologist-level accuracy.’ Circulation, 138 (suppl_1).
28 Highhouse, S. (2008). ‘Stubborn Reliance on Intuition and Subjectivity in Employee Selection.’ Industrial and Organizational Psychology, 1 (3), 333-342.
29 Schweitzer, M.E., & Cachon, G.P. (2000). ‘Decision bias in the newsvendor problem with a known demand distribution: Experimental evidence.’ Management Science, 46(3), 404-420.
30 Frey, C. B., & Osborne, M. A. (2017). ‘The future of employment: how susceptible are jobs to computerisation?’ Technological Forecasting and Social Change, 114, 254-280.
31 Accenture (2017). ‘The promise of Artificial Intelligence: Redefining management in the workforce of the future.’ Retrieved from: https://www.accenture.com/no-en/insight-promise-artificial-intelligence
32 PwC (2019). ‘AI Predictions: Six AI priorities you can’t afford to ignore.’ Retrieved from: https://www.pwc.com/us/en/services/consulting/library/artificial-intelligence-predictions-2019?WT.mc_id=CT13-PL1300-DM2-TR1-LS4-ND30-TTA5-CN_ai2019-ai19-digpul-1&eq=CT13-PL1300-DM2-CN_ai2019-ai19-digpul-1
33 Salesforce Research (2019). ‘State of Service.’ Insights and trends from over 3,500 service leaders and agents worldwide. Retrieved from: https://www.salesforce.com/blog/2019/03/customer-service-trends.html
34 Hoffman, P. (1986). ‘The Unity of Descartes’ Man,’ The Philosophical Review 95, 339-369.
35 Google Duplex (2018). https://www.youtube.com/watch?v=D5VN 56jQMWM
Chapter 2: The Leadership Challenge in the Algorithm Age
The machine age arrived a long time ago, but today’s need for the machine seems to know no limits. Modern machines need more room, more execution power and yes, maybe also the desire to lead. But who will they lead? The answer is, those who need the machine the most. And, dear reader, this may well turn out to be humans.
Naqvi writes that “the need of the machine could not be fulfilled without getting the followers to co-operate.”36 As we will see later, the influence that leaders achieve – and which we will call the process of leadership – can only be accomplished if there are others out there willing to follow the directives, ideas and suggestions of the one leading. So, if machines are about to become leaders, they need followers to achieve the powers and potential that we attribute to those same machines. As humans have developed an obsession to ensure optimal use of the potential attributed to machines, it follows that the followers are likely to be those same humans. It is a string of thought that keep the minds of scholars today very occupied.
Of course, many among us may wonder whether a machine (empowered by the workings of algorithms) leading the human species is actually a valid proposition. Why should we even reflect on the possibility of algorithms leading organizations populated by humans? Does it make sense to ponder whether your next boss will be an algorithm? What should we do about it? Does ‘Leadership by Algorithm’ even have a basis to exist? And, if so, do we really need it?
To delve deeper into this series of questions, we first need to ask ourselves whether it is a reasonable thing to expect human employees to follow algorithm-driven leaders in the same way they would a human leader? Can such a world exist? Some scholars think so.
These scholars assume that whoever becomes the leader is determined, to a large extent, by the situation at hand. One of the most prominent leadership scholars, Jeffrey Pfeffer, supported this view in his 1977 Academy of Management Review piece, ‘The Ambiguity of Leadership’. In his article, Pfeffer debunks the myth that leaders are a unique kind of species – independent of any situational influence. Pfeffer argues that in our human drive to see heroes as the true leaders, we adopt the illusion that only those individuals who bring something special to the table can be called leaders. (As a side note, when looking at the contemporary movie industry, with its focus on the Avengers franchise and other action heroes, it is clear that today we still have a need for the illusion of grand and heroic leadership.)
But, interestingly enough, it is actually the other way around; the situation makes the leader. And history supports this, revealing examples where leadership is attributed to those who, for reasons other than their own unique capabilities, win wars (Sun Tzu’s The Art of War), or can give the impression that their office is doing wonders for the economy (President Donald Trump bragging that ten years without recession is his own doing).
One of the most extreme examples of this in my lifetime is President George W. Bush and the tragedy of 9/11. Before the Twin Towers and the Pentagon were hit by hijacked airplanes, Bush had some of the lowest leadership ratings since records began. In the aftermath of these events, he visited Ground Zero and announced that the US would punish those responsible. And something extraordinary happened. Suddenly, a man considered by most as incapable of taking on the role of President of the United States was elevated to one of the highest ratings for leadership ever recorded. The situation caused Bush to be seen by many as a good leader, especially when he expressed aggression and optimism, and took the actions of a leader going to war.
The power of the situation to decide who will lead has been proven by various scientific studies of mayors, athletic coaches and corporate leaders.37,38 These insights have led to the conclusion that if the situational demands dictate leadership effectiveness in the eyes of others, then “what does it matter who occupies the position or how they behave?”39