The Principles of RAI.
Building Responsible AI.
There are several key principles that developers and organizations working with AI should follow to ensure their technology is being developed and used in a socially responsible way.
These are:
Fairness.
An AI system should not perpetuate or exacerbate existing biases or discrimination and should be designed to treat all individuals and demographic groups fairly.
Transparency.
An AI system should be understandable and explainable to both individuals who use them and to who are impacted by them. AI developers should also be transparent about how the data used to train their AI system is collected, stored and used.
Non-maleficence.
AI systems should be designed and used in a way that does not cause harm.
Accountability.
Organizations and individuals developing and using AI should be accountable for the decisions and actions that the technology takes.
Human oversight.
Every AI system should be designed to enable human oversight and intervention when necessary.
Continuous improvement.
RAI requires ongoing monitoring to ensure outputs are continuously aligned with…
