Robohub.org
 

Could we make a moral machine?


by
02 March 2016



share this:

 

Photo source: Alan Winfield

Robot picturing a simulation of itself and its environment and others in the environment. Photo source: Alan Winfield

Could we make a moral machine? A robot capable of choosing or moderating its actions on the basis of ethical rules?

This was how I opened my IdeasLab talk at the World Economic Forum 2016. The format of IdeasLab is 4 five minute (Pecha Kucha) talks, plus discussion and Q&A with the audience. The theme of this Nature IdeasLab was Building an Intelligent Machine, and I was fortunate to have 3 outstanding co-presenters: Vanessa Evers, Maja Pantic and Andrew Moore. You can see all four of our talks on YouTube here.

The IdeasLab variant of Pecha Kucha is pretty challenging for someone used to spending half an hour or more lecturing – 15 slides and 20 seconds per slide.

The biggest lesson – and a surprise to me – is this: robots don’t need to be sentient to be ethical. In other words we don’t need a major breakthrough in artificial intelligence to build an ethical robot.

You can watch the entire IdeasLab video ‘Making an ethical machine’ here:

And since not all of my (ever so carefully chosen) slides are visible in the recording here is the complete deck:

(link to the original file)

And the video clips in slides 11 and 12 are here:

Slide 11: Blue prevents red from reaching danger.
Slide 12: Blue faces an ethical dilemma: our indecisive robot can save them both.


Acknowledgements: I am deeply grateful to colleague Dr Dieter Vanderelst who designed and coded the experiments shown here on slides 10-12. This work is part of the EPSRC funded project Verifiable Autonomy.



tags: , ,


Alan Winfield is Professor in robotics at UWE Bristol. He communicates about science on his personal blog.
Alan Winfield is Professor in robotics at UWE Bristol. He communicates about science on his personal blog.


Subscribe to Robohub newsletter on substack



Related posts :

What I’ve learned from 25 years of automated science, and what the future holds: an interview with Ross King

and   14 Apr 2026
Ross King created the first robot scientist back in 2009. He spoke to us about the nature of scientific discovery, the role AI has to play, and his recent work in DNA computing.

Robot Talk Episode 151 – Robots to study the ocean, with Simona Aracri

  10 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Simona Aracri from National Research Council of Italy about innovative robot designs for oceanography and environmental monitoring.

Generative AI improves a wireless vision system that sees through obstructions

  08 Apr 2026
With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.

Resource-constrained image generation and visual understanding: an interview with Aniket Roy

  07 Apr 2026
Aniket tells us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.

Back to school: robots learn from factory workers

  02 Apr 2026
A Czech startup is making factory automation easier by letting workers teach robots new tasks through simple demonstrations instead of complex coding.

Resource-sharing boosts robotic resilience

  31 Mar 2026
When a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems.

Robot Talk Episode 150 – House building robots, with Vikas Enti

  27 Mar 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Vikas Enti from Reframe Systems about using robotics and automation to build climate-resilient, high-performance homes.

A history of RoboCup with Manuela Veloso

and   24 Mar 2026
Find out how RoboCup got started and how the competition has evolved, from one of the co-founders.



Robohub is supported by:


Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence