Robohub.org
 

Countering singularity sensationalism: Ken Goldberg reviews three books at the nexus of people and robots | Nature


by
16 October 2015



share this:

In the late nineteenth century, the United States was awash with the racist term ‘yellow peril’. Fears spread that Chinese immigrants working in the country’s mines and building its railways would seize more jobs from the citizenry. Today, there is a similar collective fear, this time about a ‘singularity’ in which artificial intelligence (AI) and robots surpass human abilities. In May 2014, for instance, physicists Stephen Hawking, Frank Wilczek and Max Tegmark, with computer scientist Stuart Russell, warned in the newspaper The Independent: “Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last”.

Surprising advances are being achieved, for example in ‘deep learning’ — a method for approximating complex functions using thousands of numerical parameters. And robots are evolving, with advances in 3D sensing and mapping. But progress is not nearly as steady as some claim. Three books explore the topic from different perspectives. All suggest that robot superiority faces a formidable obstacle: human psychology.

Hallie Siegel’s insight:
I recently interviewed John Markoff about his new book – watch for that on Robohub soon.




Hallie Siegel robotics editor-at-large
Hallie Siegel robotics editor-at-large





Related posts :



Rethinking how robots move: Light and AI drive precise motion in soft robotic arm

  01 Oct 2025
Researchers at Rice University have developed a soft robotic arm capable of performing complex tasks.

RoboCup Logistics League: an interview with Alexander Ferrein, Till Hofmann and Wataru Uemura

and   25 Sep 2025
Find out more about the RoboCup league focused on production logistics and the planning.

Drones and Droids: a co-operative strategy game

  22 Sep 2025
Scottish Association for Marine Science is running a crowdfunding campaign for educational card game.

Call for AAAI educational AI videos

  22 Sep 2025
Submit your contributions by 30 November 2025.

Self-supervised learning for soccer ball detection and beyond: interview with winners of the RoboCup 2025 best paper award

  19 Sep 2025
Method for improving ball detection can also be applied in other fields, such as precision farming.

#ICML2025 outstanding position paper: Interview with Jaeho Kim on addressing the problems with conference reviewing

  15 Sep 2025
Jaeho argues that the AI conference peer review crisis demands author feedback and reviewer rewards.

Apertus: a fully open, transparent, multilingual language model

  11 Sep 2025
EPFL, ETH Zurich and the Swiss National Supercomputing Centre (CSCS) released Apertus today, Switzerland’s first large-scale, open, multilingual language model.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence