Support for the Data Provenance Standards
co-founder and co-chief executive, Warby Parker: “Transparency and accuracy around the origin of food, water, raw materials and capital are fundamental prerequisites for society, essential to establishing trust and defining quality. At Warby Parker, we've always felt the same standard must apply to data. We are excited by the rapid evolution of AI and believe we are uniquely positioned to bring this innovation to the optical industry. Expanding the use of AI is only as good as the data we have, and we believe these new data provenance standards will lead to better and more accessible products and services for customers, as well as productivity gains throughout the industry.”
president and chief executive officer, Humana Inc: “The reliance on high-quality trusted data is critical to ensure the value of AI, and as businesses increasingly use the technology to better serve customers, members, and patients, it’s vital we take proactive steps to preserve their trust and make certain AI works as intended. The need goes beyond an effort for just one company. One day, regulation may help address this need, but there’s a significant opportunity in AI today, and business must act swiftly.”
chief executive officer and co-founder, Howso: “Garbage in, garbage out: that's the problem with AI today. Most AI systems are black boxes: data goes in and an answer comes out, but we have no idea what data was used, where it was sourced, or how the AI interpreted it. The new cross-industry standards from the D&TA are a huge leap forward in increasing trust and transparency in AI because they will ensure models are trained on reliable data from a traceable provenance.”
chief executive officer, Deloitte US: “We believe creating responsible technology is everyone’s responsibility. That’s why Deloitte is proud to collaborate with leading organizations promoting transparency in the datasets that power AI. The development of the first cross-industry standards around data provenance is an important step forward to help businesses more confidently take advantage of evolving AI technologies.”
chief executive officer, AARP: “As a trusted source for critical information impacting those over the age of fifty, AARP applauds the data provenance standards proposed by D&TA. These standards align with AARP’s mission to provide clear, simple and transparent information on matters of importance to those 50+, including the trustworthiness of AI and the data that powers it.”
executive chairman, Nielsen: “Trust and transparency in the data that fuels media industry economics are critical. Leaders in the private and public sectors have a deep responsibility to build a thoughtful framework around the use of AI that enables its benefits while sternly mitigating its risks. Central to this work must be our ability to validate data sources and protect and credit intellectual property across the vast communities of creators and technology innovators. The adoption of these data provenance standards will be a key step towards ensuring data integrity throughout the content and advertising ecosystems.”
chairman and chief executive officer, IBM: “In this era of generative AI and rapid technological advancement, open innovation is key to driving effective outcomes. By adopting and amplifying these data provenance standards across industries, enterprises can create an ecosystem that fosters greater transparency and accountability in service of the safe and responsible deployment of technology.”
chief executive officer, Transcarent: “Healthcare is an information business. For Transcarent, and an increasing number of healthcare companies, information based on high-caliber data is foundational to everything we do. Thoughtful and practical data provenance standards will be key to enabling physicians and other health and care professionals to deliver high-quality, cutting-edge care with confidence, so they know where, when, and how the data they are using to make treatment decisions was collected and generated. Data quality is a matter of safety for people receiving care and is critical to the well-being of our industry. We applaud the Data & Trust Alliance for being a cross-industry convener committed to developing practical resources.”
president; IT & data analytics, UPS: “The creators of AI platforms are not the only players in this inflection point. Enterprises in every industry are deploying data and intelligent systems that are core to their business. Companies like ours feel a deep responsibility to ensure new value creation, as well as trust and transparency of data with all of our customers and stakeholders. Data provenance is critical to those efforts.”
SVP and chief counsel, digital citizenship, Walmart Inc.: “As the pace of innovation increases and more sophisticated data assets and AI models are integrated into our customer experiences and business operations, it’s important those we serve feel confident and comfortable with the ways we use data and technology. The D&TA’s proposed data provenance standards will help businesses understand and manage data accordingly to safeguard its integrity.”
Mastercard Fellow of Data and AI: “As AI advances rapidly and opportunities grow, so do data risks. Mitigating these risks requires transparency, accountability and privacy. Data provenance is a crucial discipline for ensuring data integrity and ethical AI development to build trust between organizations. The D&TA’s cross-industry provenance standards are a helpful guide for a future of responsible AI practices to reinforce trust in new products and business applications.”
chief technology & data officer, Kenvue: “As a digital-first company, at Kenvue we are focused on building trust with science, and that includes consumer data and AI. We are proud to support and partner with the D&TA on the proposed data provenance standards. Consumers trust us with their information every day, and by working with experts across industries we are creating transparency and building trust in new technologies. These data provenance standards are a step in the right direction to ensure data across a variety of platforms is used in an honest and ethical way.”
“The Data & Trust Alliance came together because of a shared belief that data and AI would be critical to our member companies’ future,” said Ken Chenault, D&TA co-chair, General Catalyst chairman and managing director, and American Express former chairman and CEO. “Given the speed of AI's adoption and the potential impact to business and society, companies need to put in place the infrastructure for data transparency to establish trust across stakeholders.” Added Sam Palmisano, D&TA co-chair, chairman of the Center for Global Enterprise and former chairman of IBM, “D&TA is focused on real-world implementation of effective and responsible AI, and our new data provenance standards bring that pragmatic approach to one of the critical dependencies for both business and society.”
Data & Trust Alliance’s 26 members span 15 industries, operate in more than 175 countries, and generate more than $1.6 trillion in annual revenues.