Data & Trust Alliance

We are delighted to share that Salesforce, Best Buy and Elemental Cognition have joined the Data & Trust Alliance in our mission to create and adopt cross-industry business practices that enhance trust in data and AI. Welcome Corie Barry, Brian Tilzer, Sabastian V. Niles, David Ferrucci.

Today, we’re delighted to share v1.0.0 of the D&TA Data Provenance Standards—designed to provide transparency into the origin and use of datasets for both #artificialintelligence and traditional #data applications. Since we last shared a draft in November, there has been much progress: The standards have been tested and validated by 50 organizations inside and outside the Alliance. We’re mapping to other frameworks and standards, and have built an adoption kit to support implementation. We are speaking to data providers and toolset providers about adoption. The goal? Ecosystem-wide adoption to increase transparency in data. Read our announcement here: https://lnkd.in/eyi4nZwR Explore the Standards, including our full adoption kit designed for practitioners in data acquisition, procurement, data governance and compliance here: https://lnkd.in/et8ejH_V #responsibleai #datagovernance #dataprovenance Thank you to our member companies and the many experts who have been instrumental in development. AARP American Express Deloitte Howso Humana IBM Kenvue Mastercard Nielsen Nike Pfizer Regions Bank Transcarent UPS Walmart Warby Parker OASIS EDM Council Dun & Bradstreet SDM

Today, we’re delighted to share v1.0.0 of the D&TA Data Provenance Standards—designed to provide transparency into the origin and use of datasets for both #artificialintelligence and traditional #data applications. Since we last shared a draft in November, there has been much progress: The standards have been tested and validated by 50 organizations inside and outside the Alliance. We’re mapping to other frameworks and standards, and have built an adoption kit to support implementation. We are speaking to data providers and toolset providers about adoption. The goal? Ecosystem-wide adoption to increase transparency in data. Read our announcement here: https://lnkd.in/eyi4nZwR Explore the Standards, including our full adoption kit designed for practitioners in data acquisition, procurement, data governance and compliance here: https://lnkd.in/et8ejH_V #responsibleai #datagovernance #dataprovenance Thank you to our member companies and the many experts who have been instrumental in development. AARP American Express Deloitte Howso Humana IBM Kenvue Mastercard Nielsen Nike Pfizer Regions Bank Transcarent UPS Walmart Warby Parker OASIS EDM Council Dun & Bradstreet SDM

We are thrilled to announce the appointment of Saira Jesani as Executive Director, succeeding Jon Iwata, who becomes Executive Chairman. https://lnkd.in/e8UwebE2

Today the Data & Trust Alliance issued its "Policy Recommendations for the Responsible Use of Artificial Intelligence," developed by data, AI, ethics, compliance, data privacy, policy and legal experts from leading companies deploying AI, including AARP, General Motors, Humana, IBM, Mastercard, Meta, Nielsen, Nike, Walmart and Warby Parker. The paper outlines a series of recommendations on important topics, including: Transparency and Explainability Fairness and Non-Discrimination Privacy and Security Accountability and Governance Harmonization Education and Workforce Development   We hope these recommendations are constructive as society and innovation progress, and we look forward to examining these and other topics in more detail.   Read our recommendations: https://lnkd.in/ePfHGVkG   #artificialintelligence #responsibleai

A strong co-sign on these AI Policy Recommendations from the Data & Trust Alliance. This is a fast-moving space, and it’s critical that policymakers and regulators work to develop rules for AI that reflect the diverse ways in which this technology is already being implemented across sectors. D&TA is composed of representatives from a wide range of industries, and therefore has the holistic expertise required to effectively weigh in on AI risk while simultaneously understanding and supporting critical policy decisions that support innovation. I’m especially enthusiastic about the recommendations around open source. The open source community has played (and will continue to play) a huge role in identifying and fixing risks in AI, while simultaneously benefiting from an environment in which they can focus on building rather than licensing proprietary models. I’m heartened to see D&TA’s recognition of this critical ecosystem. I encourage you to give it a read — there’s a lot to unpack. #responsibleai

Today, we are pleased to share Data & Trust Alliance’s "Policy Recommendations for the Responsible Use of Artificial Intelligence.” This paper is a roadmap for industry, government, and civil society collaboration on AI governance that promotes innovation and competition while proactively prioritizing safety and security for all stakeholders. The policy recommendations were developed by data, AI, ethics, compliance, data privacy, policy and legal experts from Alliance companies including AARP General Motors Howso Humana IBM Mastercard Meta National Football League (NFL) Nielsen Nike Transcarent Warby Parker and Walmart We hope these recommendations are constructive as society and innovation progress and we look forward to examining these and other topics in more detail. The paper is available here: https://lnkd.in/eVv2_Se4 #ai #responsibleai #artificialintelligence

Kenvue is joining the Data & Trust Alliance in our mission to create and adopt business practices that enhance trust in data and AI. We’re delighted to welcome leaders of a company committed to a culture of integrity, ethics and transparency to build trust and create meaningful, long-term value: Thibaut Mongon and Bernardo Tavares.

Kenvue is joining the Data & Trust Alliance in our mission to create and adopt business practices that enhance trust in data and AI. We’re delighted to welcome leaders of a company committed to a culture of integrity, ethics and transparency to build trust and create meaningful, long-term value: Thibaut Mongon and Bernardo Tavares.

The Data Provenance Standards were developed by data, #AI, ethics, compliance and legal experts from Alliance companies including AARP, American Express, Deloitte, Howso, Humana, IBM, Kenvue, Mastercard, Nielsen, Nike, Pfizer, Regions Bank, Transcarent, UPS, Walmart and Warby Parker. With their partnership we have established standards to help businesses understand and manage #data to safeguard its integrity. Read the proposed Data Provenance Standards: https://lnkd.in/exbuGQNg