Machine Learning Operations and Ethical ML are One and The Same (Part I- For the Non-Technical Types)

So while ethics in AI might be considered a sociological or political issue- it is fundamentally a technical flaw that must be fixed in order for AI systems to actually do their jobs right.

What is ML Operations?

Source

And objectives?

Source
Source
Source

How I define Ethical AI

DoD Joint AI Center Published Responsible AI Guidelines

The Office of the Directorate of National Intelligence Responsible AI (RAI) Guidelines

Source

Google Responsible AI Principles

Source

How ML Ops and RAI Come Together (Non-Technical Musings)

Responsible, Objective and Equitable, Equitable, Respect the Law and Act with Integrity, Informed by Science and Technology

Traceable, Identify Multiple Metrics to Assess Training and Monitoring, Transparent and Accountable, When possible, directly examine your raw data, Understand the limitations of your dataset and model

Reliable, Secure and Resilient

Governable, Continue to monitor and update the system after deployment, Test, Test, Test

Human-Centered Development and Use, User-Centered Design and Approach

--

--

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store