Entry for IOTA’s Perfect Brainstorm
The Perfect Brainstorm, a community contest aimed at bringing the brightest thinkers, visionaries and business oriented people together to work out concrete use case ideas enabled by IOTA. The grand winner of this contest will get their idea implemented. There will be cash prizes for the top 3 ideas and the best 5 submissions will receive limited edition IOTA branded Ledger Nano devices.
The third step after tamperproof sensors and DLT
Trialogue is an open framework for ethics, data analysis and supervision in statistical modeling. Ideally it will become a standard like ISO 9000 for quality management or ISO 22000 for infosec.
Trialogue as a framework is designed to aid communication when discussing quality standards for algorithms, Machine Learning and AI’s. It supports conversation between experts in statistics and non-experts by allowing to set open standards in three aspects: ethics, data analysis and supervision.
The use of standards will mimic open source licenses: you pick the one that best fits your intended purpose.
With AI, Machine Learning and algorithms taking over day-to-day life, we are increasingly governed by automated decisions. Setting standards for ethics, data analysis and supervision should help balance the cons with the pros and make society safer and fairer for everyone.
A key feature is that the framework doesn’t define moral behavior or good data hygiene itself, but instead lets users decide what is best in an auditable way.
Update: EU ethics-guidelines
On 18 December the High-Level Expert Group on Artificial Intelligence released the first draft of its ethics guidelines for the development and use of artificial intelligence.
At first we were taken aback by the distinct similarities between our framework and the guidelines from the EU. On further inspection however it seems that these guidelines are a godsend, because they perfectly complement the proposed Trialogue framework, and fill in some of the open points already.
We’re going to study the guidelines in detail after the holidays, and see if we can come up with a plan to help implementation.
If you think you can help us achieve implementation of Trialogue, please reach out to us. We’d love to hear from you.