CEO support for the Algorithmic Bias Safeguards:
chairman and chief executive officer, IBM: “Trustworthy AI is crucial for businesses. IBM is looking forward to working with members of the Data & Trust Alliance, which includes some of the world’s leading brands, on making responsible data and AI practices the norm, not the exception. The Alliance’s ‘Algorithmic Bias Safeguards’ can help businesses ensure that they are adopting AI-powered human resource tools that foster trust and help organizations build a skilled, diverse, and inclusive workforce.”
chief executive officer, Nielsen: “As a leading data and analytics company, we know that equitable and unbiased data is essential to trust and truth. The Alliance’s anti-bias criteria for HR algorithms are essential to trust and truth when hiring and developing a winning team.”
The Data & Trust Alliance
The Data & Trust Alliance, established in September 2020, brings together leading businesses and institutions across multiple industries to learn, develop, and adopt responsible data and AI practices.
The Alliance, a not-for-profit consortium, 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 is the founding executive director.
“The Data & Trust Alliance is a promising example of the business community embracing responsible innovation, forging a path for both established organizations and start-ups to build thriving businesses that align with and contribute to the long-term interests of society,” said Mr. Chenault.
“The companies that formed the Data & Trust Alliance come from a broad range of industries, but they have several things in common. They are staking their future on innovation. They are innovating their products, services, and operations by embracing data and intelligent technologies. And they care deeply about earning trust with their full spectrum of stakeholders,” said Mr. Palmisano.
“Many today are focused on the theory and policy of responsible data and AI, and that is important work. The Data & Trust Alliance is focused on application,” said Mr. Iwata. “We are about changing the practice of business through real-world innovation. Our only measure of success is adoption by practitioners in business.”
CEO support for the Data & Trust Alliance:
chief executive officer, Deloitte US: “When organizations infuse ethical decision-making into the deployment of emerging technologies, it unlocks superior business outcomes while earning society’s trust. At Deloitte, we’re proud to take on these challenges in collaboration with other leading purpose-driven enterprises in the Data & Trust Alliance.”
chief executive officer, Howso: “The Alliance presents an amazing opportunity for globally renowned organizations to lead by example for the ethical and fair use of data with AI. It is truly remarkable to see these Alliance members come together, offering multiple perspectives, yet all share this common goal. The Howso organization is proud to play its part.”
Data & Trust Alliance member companies span 15 industries, operate in more than 175 countries, and generate more than $1.5 trillion in annual revenues. Additional information on the Alliance and the Safeguards are available at dataandtrustalliance.org
Additional Executive Comments
chief people officer, CVS Health: “As we accelerate our digital transformation, we also have to ensure that the way we are using data and AI is consistent with our values. Our work to mitigate bias in human resources and recruiting will help us build the more diverse and inclusive teams that we know will produce better results for our companies and our communities.”
chief executive officer, HiredScore: “HiredScore fully supports groups such as the Data & Trust Alliance that are convening leaders who take a stance on the important topic of mitigating biases in work-related processes and for providing resources for the industry, including valuable frameworks for evaluating technologies for their incorporation of ethical and compliance standards.”
chief administrative officer, Mastercard: “Trust is central to building a culture where the best people want to be. In today’s digital world, that trust must extend to the data-driven technologies that allow us to recruit, retain, and develop an inclusive, dynamic workforce. We’re pleased to be part of the D&TA working group that has advanced this effort.”
global head of product, global business solutions & career, Mercer: “What I love about this work is that it’s going to build sensitivity and awareness. It’s this idea of moving toward more equitable algorithmic solutions.”
EVP, chief human resources officer, NIKE Inc.: “None of us want to lose out on the right opportunity or the right person due to incomplete, inaccurate, or biased data sets. The work of this cross-industry, multi-disciplinary team of leaders and deep subject matter experts is designed to create an equitable playing field for all.”
chief executive officer, Pymetrics: “Forward-looking companies understand that data and AI can be very effective tools for creating opportunity and achieving diversity, equity, and inclusion goals. While it’s hard to remove bias from algorithms, it’s even harder to remove bias from human decision-making. By working closely with the vendor community to improve products and offerings related to talent management, the Data & Trust Alliance is demonstrating a commitment to progress that will benefit all.”
SVP, chief counsel, digital citizenship, Walmart: “This is not only an anti-bias tool. It is an improved outcomes tool for a time in which talent recruitment and retention are becoming critical for fairness, opportunity, and future business success.”