“Stop Building Bad AI” [Boston Review].
A obstacle to more robust ethical reflection on AI [Artificial Inteligence] development
is the presumption that we always have the option of non-deployment. If
at some point in the future it turns out that an AI tool is having
unacceptably bad consequences, some might say, we can simply decide to
stop using the tool then.
This may be true in some cases, but it is not clear why we should think it is always possible—especially without industry-wide regulation. The labor effects of automation, for example, may well be effectively irreversible. In current market conditions, it is hard to imagine how a company could take back its decision to replace a human-executed task with an AI-driven, automated process.
Should the company face backlash over its AI tool, current incentives make it far likelier that it would seek to find another way to automate the task rather than rehire humans to execute it. The pressure to automate is now so strong in some sectors that some companies are pretending to have built and deployed AI. In 2016, for example, Bloomberg News reported that personal assistant startup X.ai was directing employees to simulate the work of AI chatbots, performing avalanches of mind-numbing, repetitive tasks such as generating auto-reply emails and scheduling appointments.
It would be naïve to think that once such tools are
actually built and deployed, the work force could easily revert to its
pre-automated structure.
apud: https://www.nakedcapitalism.com/2021/07/200pm-water-cooler-7-26-2021.html
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