3. Explainability:

AI should be designed for humans to easily perceive, detect, and understand its decision process.
Principle: Everyday Ethics for Artificial Intelligence: Five Areas of Ethical Focus, Sep 6, 2018

Published by IBM

Related Principles

I Interpretability

Interpretable and explainable AI will be essential for business and the public to understand, trust and effectively manage 'intelligent' machines. Organisations that design and use algorithms need to take care in producing models that are as simple as possible, to explain how complex machines work.

Published by Institute of Business Ethics (IBE) in IBE interactive framework of fundamental values and principles for the use of Artificial Intelligence (AI) in business, Jan 11, 2018

3. New technology, including AI systems, must be transparent and explainable

For the public to trust AI, it must be transparent. Technology companies must be clear about who trains their AI systems, what data was used in that training and, most importantly, what went into their algorithm’s recommendations. If we are to use AI to help make important decisions, it must be explainable.

Published by IBM in Principles for Trust and Transparency, May 30, 2018

Ensure “Interpretability” of AI systems

Principle: Decisions made by an AI agent should be possible to understand, especially if those decisions have implications for public safety, or result in discriminatory practices. Recommendations: Ensure Human Interpretability of Algorithmic Decisions: AI systems must be designed with the minimum requirement that the designer can account for an AI agent’s behaviors. Some systems with potentially severe implications for public safety should also have the functionality to provide information in the event of an accident. Empower Users: Providers of services that utilize AI need to incorporate the ability for the user to request and receive basic explanations as to why a decision was made.

Published by Internet Society in Guiding Principles and Recommendations, Apr 18, 2017

2. Transparency

Users will be aware that they are interacting with AI. AI will be explainable for users to understand its decision or recommendation to the extent technologically feasible. The process of collecting or utilizing personal data will be transparent.

Published by Samsung in Principles for AI Ethics, Apr 24, 2019 (unconfirmed)

AI systems should not be able to autonomously hurt, destroy or deceive humans

1. AI systems should be built to serve and inform, and not to deceive and manipulate 2. Nations should collaborate to avoid an arms race in lethal autonomous weapons, and such weapons should be tightly controlled 3. Active cooperation should be pursued to avoid corner cutting on safety standards 4. Systems designed to inform significant decisions should do so impartially

Published by Smart Dubai in Dubai's AI Principles, Jan 08, 2019