Policy Prototype for more Transparent
and Explainable AI system
With the support of
ABOUT THE PROTOTYPE
The program consisted of creating and testing a public policy prototype on the governance of Artificial Intelligence (AI) systems within mexican companies. It is part of a pioneering global program, Open Loop, led and designed by Meta.
In Mexico, the Public Policy Prototype (PPP) focused on transparency and explainability of AI systems. The program, designed by Meta, C Minds' Eon Resilience Lab, and the Inter-American Development Group (IDB) via its fAir LAC initiative, and with the support of the National Institute for Transparency, Access to Information and Personal Data Protection (INAI). It also included the collaboration of Mexican companies and input from Latin American experts.
For the PPP, over 10 companies implemented a prototype on transparency and explainability to add more value to their users and the general public through the improved management and control of more transparent and explainable AI systems.
The PPP insights are gathered in the "Public Policy Prototype on the Transparency and Explainability of Artificial Intelligence Systems" that aims to translate findings into practical ideas, discuss the posible use of technologies, and provide recommendations to Mexico’s regulating institutions; which may also inspire other countries in the region.
THE POLICY PROTOTYPE
Policy Prototype for more Transparent and Explainable AI system lasted 5-6 months
implemented the prototype to offer recommendations for regulators
The program was exclusively for mexican companies and had no cost for the participants
Companies received the necessary technical, logistical and governance-related support throughout the program
During the prototype we measured
The clarity, utility, and technical feasibility of the prototype
To what extent are companies aware of this topic and how much do they understand it?
What kind of technical support do the different companies require according to their profile?
The implementation cost of the prototype
What kind of technical and organizational problems come up?
Which elements of the prototype are most difficult to follow or adopt?
The companies' users' experience and other elements
What are the benefits or satisfaction for the consumers?
Did the users understand the explanations given to them? Were they necessary?
Which elements contributed to an increase in understanding?
How much did confidence levels in the company increase?
MEET OUT EXPERT TEAM
PROMOTING TRANSPARENT AND EXPLAINABLE AI SYSTEMS
As a driving force for change, technology is continuously redefining possibilities for our civilization, new ways of living and interacting with each other, shaping our lives and the world around us.
Technology is pushing the limits of what is possible, and as this transformation speeds up, we have to identify how technological and regulatory innovation can complement each other in a way to allow a responsible and inclusive field that brings value and purpose to society.