Shamina Singh is executive vice president of sustainability at Mastercard, responsible for the development and implementation of environmental, social, and governance strategy. She is also the founder and president of the Center for Inclusive Growth, the company’s social impact hub. Additionally, Singh is a member of Mastercard’s Management Committee and executive sponsor of the Pride business resource group. She is a member of the President’s Export Council and an active board member of the Anti-Defamation League and the Ann Richards School for Young Women Leaders in Austin, Texas. She holds a bachelor’s degree from Old Dominion University and a master’s degree in public affairs from the University of Texas, Austin.
Voting History
| Statement | Response |
|---|---|
| There is sufficient international alignment on emerging codes of conduct and standards for global companies to effectively implement RAI requirements across the organization. Disagree |
“When it comes to responsible AI, public, private, and civic sectors must work together to ensure that policies respect an individual’s fundamental rights, health, and safety. Implementation of such policies requires a global dialogue between the private and public sectors. We need to minimize fragmentation of standards, especially as we’ve seen an increase in laws and regulations on privacy, data and AI. This results in a patchwork of complex and fragmented standards. Fragmentation is likely to lead to bad outcomes for everyone, including businesses, people, and society.
Fortunately, there is progress being made on this front, with multiple initiatives underway to align on global principles and regulatory approaches for AI. Now is the time to double down on the global dialogue between the private and the public sectors, as well as civil society, and involve stakeholders representing a diversity of views and disciplines, including technologists but also lawyers and policy experts, data scientists, ethicists, and human science experts. The EU, Canada, the U.S., Saudi Arabia, Singapore, and the G7 have each announced regulations and voluntary initiatives that seek endorsements, signatories, pledges, or other forms of engagement from companies. These initiatives establish principles to guide AI development and use and foster the development of standards, protocols, guidance, and best practices to promote responsible and safe AI.” |
| Companies should be required to make disclosures about the use of AI in their products and offerings to customers. Agree |
“I agree that companies should disclose when they are using AI in products and offerings to customers. At Mastercard, we believe transparency and disclosures are important to building trust with our customers and how we successfully run our business.
AI is not new for us. Our investments in AI and data technologies over decades have enabled us to uncover differentiated insights, infuse intelligence into payments, and outsmart fraud. It will make commerce smarter, safer, personal, and stronger. But it must be guided by clear principles and a commitment to responsible data and technology. That’s why we developed and continually evolve a set of robust data and tech responsibility principles to hold ourselves to the highest standards of responsibility in all our work while sharing our experiences with partners, regulators, and policy makers to inform a broader common framework for responsible data-driven innovation. When it comes to AI, we must innovate inclusively and transparently so this emergent tech can help customers, businesses, and society.” |
| Organizations are sufficiently expanding risk management capabilities to address AI-related risks. Agree | “New technology can promise unbound potential, but it needs to happen with a strong governance model so we can assess and address risks appropriately. As we see and implement emerging technologies like AI, it is our responsibility to ensure that we embed privacy and security throughout, with accountability and integrity. In my work at the Center for Inclusive Growth and Mastercard, we hold ourselves to the highest standards around data and tech responsibility and are working with partners, regulators, and policy makers to inform a broader common framework for responsible data-driven innovation. We have robust privacy, security, and AI governance programs in place but are also iterating to ensure that we meet the shifting challenges of the potential misuse of data. One example of that is that we implemented additional senior executive oversight on all proposed generative AI use cases to ensure that the data is handled responsibly and ethically.” |