Here at Rainbird, we spend a lot of time talking about the value of intelligent automation tools being user-friendly and democratised. Decision-automation projects are always more successful when domain experts are central to the process.
Another theme is the one of explainability. History has shown that we are right to be weary of delegating decisions to technologies that are not explainable.
I talk about these themes in this webinar extract prepared for TechUK. Comments welcome!
https://vimeo.com/542557889/63b0e7720d
Another theme is the one of explainability. History has shown that we are right to be weary of delegating decisions to technologies that are not explainable.
I talk about these themes in this webinar extract prepared for TechUK. Comments welcome!
https://vimeo.com/542557889/63b0e7720d
You talk about how being able to explain how a judgement is reached is great for the organisations using Rainbird, and their regulators. Do you think there's another potential positive here - the public?
There's a definite worry about how important decisions in individual's life are made by computers. Many people just don't like the idea, whether it's self-driving cars, assessing benefit claims or analysing medical data.
So do you think that embracing explanability in automated decision making also has the potential to make it less 'scary', and maybe improve public acceptance of algorithm-driven choices?