Data & Trust Alliance

Designing a New Workforce: Emerging Roles and Skills in the AI Economy explores how #AI is fundamentally reshaping the professional landscape across industries. Drawing from recent workforce transformation data and case studies, speakers Amanda Ballantyne of the AFL-CIO, Joanne Lipman of Yale University, Traci Hughes, formerly of SAP, and former White House Staffer Seeyew Mo will examine the emergence of AI-adjacent roles, the evolution of traditional positions, and the new competencies required at all organizational levels. Moderated by Global Digital Policy Expert Kristina Podnar, this discussion will provide actionable insights for organizations managing this transition and professionals navigating their careers in an AI-augmented workplace. Register below to join us on April 3 at the Yale School of Management. https://lnkd.in/eP8Y-shS

While the C-Suite Roundtable focuses on executive decision-making for AI investment and organizational change, Operationalizing Responsible AI: Governance, Risk Management, and Scaling Impact concentrates on implementation mechanics: governance, risk frameworks, and scaling challenges. Moderated by The Wall Street Journal President Alan Murray, this session brings together enterprise leaders and AI practitioners to explore how organizations operationalize #trustworthy AI systems that deliver measurable returns while mitigating risks. With over half of Fortune 500 companies citing #AIGovernance as a critical priority, panelists Andy Markus of AT&T, Elena Kvochko of SAP, Berta Rodriguez-Hervas of Pfizer, and Ken Lawshe of Synthesia will share frameworks for embedding ethical design, compliance, and stakeholder accountability into deployment pipelines.? Register below to join us on April 3 at the Yale School of Management. https://lnkd.in/eP8Y-shS

As #AI becomes ubiquitous across industries, organizations face dual challenges: cultivating end-user trust while responsibly integrating third-party AI systems they don't fully control. New Norms: Building Trust and Social License in the AI Era brings together leaders from government, finance, consumer products, and retail to examine the evolving social contract between companies and stakeholders in the AI era. Panelists Camille Stewart Gloster, Esq of CrowdStrike, JoAnn Stonier of Mastercard, Bernardo Tavares of Kenvue, and Ferras Vinh of Walmart will share insights on addressing varying levels of AI literacy, navigating trust breakdowns, and establishing appropriate boundaries for AI agent autonomy. Moderated by Sharon Goldman of Fortune, this discussion will explore real-world consequences when trust is compromised—from regulatory backlash and market devaluation to customer exodus and brand damage—alongside strategies for rebuilding credibility after missteps. Through examination of cautionary tales and success stories, speakers will reveal actionable approaches for maintaining public confidence while driving #Innovation, balancing #Transparency with #Security, customer education with operational reality, and ethical principles with competitive advantage. Register below to join us on April 3 at the Yale School of Management. https://lnkd.in/eP8Y-shS

Thank you CIO Dive for sharing our latest news on the next step of the Data Provenance Standards at OASIS, with sponsorship from industry leaders like?Cisco, IBM, Intel Corporation, Microsoft, and Red Hat. With AI adoption accelerating, ensuring data integrity and accountability has never been more urgent. These standards will help businesses validate data quality, navigate compliance challenges, and build a stronger foundation for #TrustInAI. Special thanks to Kristina Podnar Read more here: https://lnkd.in/etZZv-bQ Special thanks to the D&TA Provenance Working Group, creators of v1.0.0, to IBM, who rigorously tested the Standards, and to Kristina Podnar, who led the effort.

Thank you, Christina Montgomery, for your longtime championing of the Data Provenance Standards. With OASIS now stewarding the standards, we’re taking a critical step toward industry-wide adoption and implementation. Ensuring data integrity, transparency, and accountability is foundational to #ResponsibleAI —this move brings us closer to making that a reality. Read more below.

From the vantage point of #GlobalTechnology leaders, the C-Suite Roundtable on How AI is (and is not) Delivering ROI will provide an executive-level view of #AI's transformative impact on #Business and #Innovation. Drawing from direct experience, panelists Jim Swanson of Johnson & Johnson, John Maeda of Microsoft, and Rob Thomas of IBM will share insights on where AI is delivering real competitive advantages, what infrastructure and organizational changes are necessary for successful implementation, and how to navigate the challenges of integration and cross-functional collaboration. Moderated by Data & Trust Alliance Executive Director Saira Jesani, this session will offer practical wisdom for fellow executives on separating hype from reality, understanding the true drivers of #ROI, and building the necessary organizational capabilities to succeed in the AI era. Register below to join us on April 3 at the Yale School of Management. https://lnkd.in/eP8Y-shS

The Global State of Responsible AI: Business, Policy, and National Security examines how advanced AI systems are reshaping competitive dynamics across industries while introducing new regulatory and national security challenges. Drawing on expertise in #AISafety, #EnterpriseTechnology, and #LegislativeGovernance, the discussion will address critical questions about alignment, accountability, and risk mitigation in interconnected economic and geopolitical systems.? ? Panelists Ben Brooks of the Berkman Klein Center for Internet & Society at Harvard University, Senator James Maroney of Connecticut, Logan Graham of Anthropic, and Sarah Bird of Microsoft will explore practical frameworks for balancing innovation with safeguards against misuse, emphasizing collaboration between policymakers and technologists. Moderated by Edward Wittenstein of the Yale Jackson School of Global Affairs, this conversation will highlight evolving regulatory priorities for AI deployments, strategies for public-private partnerships, and mechanisms to protect societal interests while enabling measurable progress. Register below to join us on April 3 at the Yale School of Management. https://lnkd.in/eP8Y-shS

Huge thanks to Kristina Podnar for her leadership in driving this work forward, and to Jim Cabral and the team at OASIS for taking the next step in ensuring these standards become globally recognized and implemented. https://lnkd.in/eKeCQFGN #DataProvenance #TrustInAI #DataStandards

Yale University and the Data & Trust Alliance are proud to be co-organizing Responsible AI in Global Business 2025, a multi-disciplinary conference bringing together leaders from business, academia, and government to tackle the challenges and opportunities of AI adoption. April 3, 2025 Yale School of Management From executive decision-making on AI investment to governance, trust, and social license, this conference will convene top minds to share actionable insights, frameworks, and best practices for building responsible AI at scale. Speakers include C-suite leaders, deployers, and practitioners from IBM, AT&T, SAP, Mastercard, Microsoft, Johnson & Johnson, Synesthesia, and more—with panels covering AI governance, workforce transformation, and responsible deployment. Speakers include John Maeda, Jon Iwata, Alan Murray, Edward Wittenstein, Ben Brooks, Senator James Maroney, Sarah Bird, Jim Swanson, Rob Thomas, Sharon Goldman, JoAnn Stonier, Bernardo Tavares, Andy Markus, Elena Kvochko, Berta Rodriguez-Hervas, Ken Lawshe, Amanda Ballantyne, Seeyew Mo, Joanne Lipman, and more. Register below for early bird pricing through March 10.

The Data & Trust Alliance is at a significant milestone in our journey to establish trusted, transparent, and practical standards for data provenance. Yesterday, OASIS announced the launch of the Data Provenance Standards Technical Committee (DPS TC). Building on our version 1.0.0, the committee will ensure the long-term adoption and evolution of the Data Provenance Standards as global, de jure technical standards. OASIS Open is a leading open standards body, and the developers of crucial technical standards like XML and the CAP (common alerting protocol) that enables the AMBER alert. The DPS TC will not only refine v1 of the Data Provenance Standards, but also bridge the gap between standards and implementation in order to drive towards industry-wide adoption. Thank you to Kristina Podnar and the many members of our Data Provenance Working Group who spearheaded the development of these standards to date. And thanks to Jim Cabral and the team at OASIS for shepherding this work into the next phase of adoption and impact. Jon Iwata Saira Jesani Camille Stewart Gloster, Esq Pinal Shah Tim Duschenes