We already see algorithms and hear the headlines about artificial intelligence (AI), yet so many senior managers remain skeptical and are ignoring the issue. Whilst the robot or cyborg may immediately come to mind, neither will emerge as a single change to immediately replace millions of jobs, rather this is going to occur in waves over an extended timeframe. AI will likely be adopted only once it proves to be functional, safe, with favourable business economics and customer acceptance. It is likely that the current logarithms and basic AI functions will advance in the upcoming 5G rollout and faster technology, where the first functional robot may soon emerge.
As with humans, AI and robots will have bias that arises from its programmes and functions, where my conference audiences regularly raise AI bias and error as an issue to consider now. Some may argue bias exists in humans as well, yet AI bias maybe far more serious unless it is recognised and controlled. Sure, every single human has some bias based on their education, family, experiences and socio-economic background, but those are unique to the individual. AI bias will likely be systematic, derived from the system and originating programmer, where those purchasing it will have the same base bias that can permeate through organisations, industries and even the world. It is possible that bias could remain hidden, so potentially locking out millions of workers without managers even knowing about it.
In a competitive, fast moving age it may be tempting for management to offer up the efficiencies and savings to their boards, customers and staff. Although AI adoption without due diligence could lead to value losses, shareholder revolt and customer loss if bias and error are discovered some time after its adoption. If AI is revealed with significant error and bias it may also lead to government enquiries and tighter laws, so limiting its development and functionalities into the future. Managers should beware that AI rollout comes with significant risk if there is insufficient due diligence, or if it lacks an assessment against broader societal and ethical frameworks. The past business assessment tools of financial paybacks and net present values should no longer be the sole determinants of investment in this new age.
Regarding to AI Ethics, Michael Dukakis Institute for Leadership and Innovation (MDI) has established Artificial Intelligence World Society (AIWS) for the purpose of promoting ethical norms and practices by collaborating with think tanks, universities, non-profits, firms, and other entities that share its commitment in the development and use of positive AI for society.
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