All posts tagged: AI in medicine

The coming of transhumanism

Doctors have used technology to repair or improve human bodies for decades, and this has been uncontroversial. However, soon the technology will be available to be stronger, to better resist illnesses, and to live longer. This voluntary transhumanism is different – and it will become controversial. Should we do everything that we technically could? Is it right? Will it be only for the rich? Are we playing god? These are questions that we need to start exploring. Rena Seiler recently tackled the topic in a paper entitled “Transhumanism – the vision of the technological evolution of humans” at the Institute for Digital Business of HWZ University Zurich. You can read the English version here, or her original article in German here. Rena argues that this technology is being developed no matter what and that we as a society must seize the opportunity of the early stage to discuss the use of transhumanism. Otherwise, there is a risk that the technology will be exploited for selfish personal and strictly commercial reasons, which will exclude many from …

Automation of services

Services involve the delivery of an intangible product, usually immediately. Services can’t be trialed, can’t be stored, and rely on a leap of faith by both the buyer and the seller. The buyer only knows afterward if the quality was acceptable and if the user experience felt good. The provider only knows during delivery if they’ll stay within the estimated time and cost. Such latent dissatisfaction and distrust are problems that firms try to overcome with many measures; from freemium offers and money-back guarantees to end-user license agreements (EULAs) and contracts the size of phone books (remember those?!). I predicted the trend of “XaaS –  Everything as a Service” in a previous DIGIGRAM. Now, I see the next wave arrive — the automation of services. Technology can now automate routine services and mediate between sellers and buyers at the same level as well-trained service associates—but faster, more scalable, and better able to continuously learn. Unlike many humans, software is very patient – it can run for hours and hours with unchanged high precision, and without …