from the operators-used-to-connect-phone-calls dept.
Yoav Hollander has an interesting post at The Foretellix Blog about the rise of mostly-autonomous systems (MOAS), systems which are normally autonomous, but still have “operators standing by” for the infrequent-but-crucial moments when they are needed. According to Hollander, the main reason we will have mostly autonomous systems in the future is that it is much, much, much easier to automate (and verify) 97% of the required behavior than it is to automate 100%. Full autonomy is perhaps possible, but is really hard and some claim completely autonomous systems will never be achieved, percisely because of these rare-but-hard-to-handle cases. Even if it can be achieved eventually, economics and common-sense dictate that we’ll first go through this mostly-autonomous stage.
Some examples of mostly-autonomous systems already in use or development include airline pilots, automated answering services, chatbots, autonomous vehicles, and military robots. For example, Everybody and their brother are now creating chatbots based on machine learning (ML), which help in scheduling, pizza ordering and so on. "In the past two years, companies offering do-anything concierges (Magic, Facebook’s M, GoButler); shopping assistants (Operator, Mezi); and e-mail schedulers (X.ai, Clara) have sprung up. The goal for most of these businesses is to require as few humans as possible. People are expensive. They don’t scale. They need health insurance. But for now, the companies are largely powered by people, clicking behind the curtain and making it look like magic."
What are the implications for MOAS on future employment? According to Hollander, there will be new occupations but they will not compensate for all the jobs lost to automation and one of the main new jobs will be “operators of mostly-autonomous systems." As a concrete example, consider the future Assistive-Robots-R-Us corporation (motto: “Making the elderly and the disabled independent again”). They rent their robots for a weekly fee, and their sales guy swears on a stack of bibles that by golly, when an emergency occurs and a remote operator needs to take control, an operator will absolutely be there in A-R-R-U’s headquarters, ready and able to assist. In fact, this is why A-R-R-U is so popular: people trust it, A-R-R-U's MOAS operators will be smart problem solvers: This is probably not going to be a low-paid, simple job – all the simple stuff will be automated away. "The typical MOAS operator will be a smart, interdisciplinary problem solver – she gets all the odd situations, and is measured on customer satisfaction and avoidance of bad outcomes."