The future will be powered by the responsible use of data and intelligent systems.

As of June 2022, the 25 members of the Data & Trust Alliance collectively represent
fifteen industries
more than $1.6 trillion in revenue
more than 5 million employees
operations in more than 175 countries
combined market value of more than $3 trillion
The data sets above are representative of data pulled in June 2022 from publicly available sources including Yahoo Finance and 2021 annual reports from the respective organizations.

For the past quarter century, companies have worked to become “digital.” Now they are using data, algorithms, and AI to reinvent how decisions are made. They are becoming data enterprises. This is transforming everything from retail, education, and entertainment to health and wellness, transportation, and energy.

For these intelligent systems to create economic and societal value for all stakeholders—customers, employees, citizens, shareholders, partners, suppliers, and more—they must be designed and managed responsibly.

Who we are

The Data & Trust Alliance brings together leading businesses and institutions across multiple industries to learn, develop, and adopt responsible data and AI practices. Established in September 2020, it was founded as a not-for-profit consortium and is co-chaired by Ken Chenault, General Catalyst chairman and managing director, and former American Express chairman and CEO; and Sam Palmisano, former IBM chairman and CEO. Jon Iwata, founding executive director, works with a cross-functional team of senior executives selected by their CEOs to identify and drive Alliance projects.

What we believe

  • Every enterprise in every industry is or will soon be
    a data enterprise.
  • Every data enterprise has an essential obligation to be a responsible steward of data, algorithms, and AI.
  • We must earn the trust and serve the interests of our stakeholders and all who share their data with us.

What we do

  • We share practices across industries and disciplines in order to accelerate learning.
  • We develop new practices and tools to advance the responsible use of data, algorithms, and AI.
  • We are not a “think tank.” We don’t lobby or advocate on public policy issues.

Every data enterprise must be a responsible steward of data, algorithms, and AI.

What makes us
different

Implementation is the goal. Our only KPI is adoption by practitioners in business. That is why everything we surface or invent is practical and actionable.

Our Latest Initiative

Algorithmic Safety: Mitigating Bias in Workforce Decisions

200 +
experts from business, academia, and civil society helped test and refine the safeguards.

Our organizations identified unfair bias as one of the highest risks in the use of algorithms and AI for workforce-related decisions. While it is impossible to remove bias, we aim to mitigate harms as much as is feasible while fostering innovative, long-term workforce strategy and management. Learn more