Robohub.org
 

Do no harm, don’t discriminate: official guidance issued on robot ethics | The Guardian

by
20 September 2016



share this:

Isaac Asimov gave us the basic rules of good robot behaviour: don’t harm humans, obey orders and protect yourself. Now the British Standards Institute has issued a more official version aimed at helping designers create ethically sound robots.

The document, BS8611 Robots and robotic devices, is written in the dry language of a health and safety manual, but the undesirable scenarios it highlights could be taken directly from fiction. Robot deception, robot addiction and the possibility of self-learning systems exceeding their remits are all noted as hazards that manufacturers should consider.

Welcoming the guidelines at the Social Robotics and AI conference in Oxford, Alan Winfield, a professor of robotics at the University of the West of England, said they represented “the first step towards embedding ethical values into robotics and AI”.

“As far as I know this is the first published standard for the ethical design of robots,” Winfield said after the event. “It’s a bit more sophisticated than that Asimov’s laws – it basically sets out how to do an ethical risk assessment of a robot.”

Read the entire article here.

 




Kassie Perlongo Kassie is the Managing Editor at Robohub.
Kassie Perlongo Kassie is the Managing Editor at Robohub.





Related posts :



Unable to attend #ICRA2022 for accessibility issues? Or just curious to see robots?

There are many things that can make it difficult to attend an in person conference in the United States and so the ICRA Organizing Committee, the IEEE Robotics and Automation Society and OhmniLabs would like to help you attend ICRA virtually.
17 May 2022, by
ep.

350

podcast

Duckietown Competition Spotlight, with Dr Liam Paull

Dr. Liam Paull, cofounder of the Duckietown competition talks about the only robotics competition where Rubber Duckies are the passengers on an autonomous driving track.
17 May 2022, by

Designing societally beneficial Reinforcement Learning (RL) systems

In this post, we aim to illustrate the different modalities harms can take when augmented with the temporal axis of RL. To combat these novel societal risks, we also propose a new kind of documentation for dynamic Machine Learning systems which aims to assess and monitor these risks both before and after deployment.
15 May 2022, by

Innovative ‘smart socks’ could help millions living with dementia

‘Smart socks’ that track rising distress in the wearer could improve the wellbeing of millions of people with dementia, non-verbal autism and other conditions that affect communication.
13 May 2022, by

Swiss Robotics Day showcases innovations and collaborations between academia and industry

The 2021 Swiss Robotics Day marked the beginning of NCCR Robotics’s final year. The project, launched in 2010, is on track to meet all its scientific goals in the three areas of wearable, rescue and educational robotics, while continuing to focus on supporting spin-offs, advancing robotics education and improving equality of opportunities for all robotics researchers.
10 May 2022, by

Afreez Gan: Open Source Robot Dog, Kickstarter, and Home Robots | Sense Think Act Podcast #18

In this episode, Audrow Nash speaks to Afreez Gan, who is the founder and CEO of MangDang; MangDang is a Chinese startup that makes Minipupper, an open source robot dog that uses the Robot Operating S...





©2021 - ROBOTS Association


 












©2021 - ROBOTS Association