News  |    |  November 22, 2019

Move Fast and Break Things? The AI Governance Dilemma

News article by Ryan Dawson.
Published by Hacker Noon.

Excerpt:

AI is the future and there’s lots of money to be made from it. But organisations keep making the news over AI governance failings, such as Microsoft’s chatbot that turned racist and google images labelling African-Americans as gorillas. We’re seeing a growth of ethics and governance councils but with mixed success – Google shut theirs down. Why is good governance proving so difficult? Does there have to be a trade-off between good governance and innovation?

AI is taking off. The market for AI is has been forecast to grow from $9.5bn in 2018 to $118.6bn by 2025. Naturally there is a race to get to the opportunities first. However, making money from machine learning right now is not necessarily easy. Up to 87% of machine learning projects never go live. Some projects fail because the idea doesn’t work out or the data isn’t available. Even for projects that have a good idea and adequate data, the journey to running the model live isn’t easy. [ . . . ]


About the Author

Ryan Dawson is a software developer at seldon.io. Seldon Technologies Ltd was founded in 2014 with a simple yet ambitious aim: accelerate the adoption of machine learning to solve some of the world’s most challenging problems.