In today's rapidly evolving technological landscape, state and local governments are increasingly turning to artificial intelligence (AI) to enhance public services and streamline operations. However, the success of these AI initiatives hinges on a fundamental element: the quality of the underlying data. High-quality, well-governed data is the cornerstone of effective AI systems. Without it, AI models can produce biased or inaccurate outcomes, potentially undermining public trust and leading to suboptimal decisions. Implementing robust data governance practices ensures that data is accurate, consistent, and reliable, thereby enabling AI applications to deliver meaningful and equitable results. To support public sector organizations in this endeavor, Collibra offers a comprehensive AI Governance Workbook. This resource provides a clear, actionable framework to establish trusted AI systems, including: • An introduction to AI governance frameworks • A step-by-step plan for creating an effective AI governance program tailored to your agency's needs By leveraging such tools, state and local governments can confidently navigate the complexities of AI implementation, ensuring that their initiatives are both effective and aligned with public interest. For more information on building a robust AI governance strategy, explore Collibra's AI Governance Workbook. (https://lnkd.in/gnRffJTx)
Shona Cerami’s Post
More Relevant Posts
-
Next steps on the UK AI regulatory agenda - Read our perspective. Scaling AI and GenAI in a Safe, Secure and Trusted environment is at the forefront of delivering productivity, business and societal value. From strategic roadmap, to robust & agile governance, upskilling, platform and cultural change, a lot can be done now; and for global organisations a need to understand the landscape across jurisdictions. https://lnkd.in/eFbhc_F6 Hugo Rousseau Rob McCargow Maria Luciana A. Raj Bharat Patel Matthew Dodgson Mo MESKARIAN, MBA, MSc Trishia Ani Catherine Dunkerley Peter El Khoury Timothy Chapman Francesca Wilkinson Katy Huang Freya Wills
Government sets out next steps for regulators on AI
pwc.co.uk
-
Empowering NSW Gov. Leaders in CX, AI, & Cyber | Technology | Digital Strategy | @ Forrester
Is weak governance hindering your public sector AI initiatives? 📝 Forrester stresses the importance of strong oversight for successful AI implementation. Learn how effective governance can unlock AI's full potential in government services. Sam Higgins ⏬ ⏬ ⏬ ⏬
AI For The People: Improving Governance And Adoption Are Key For Public Sector AI Efforts
https://www.forrester.com
-
It's no secret that navigating generative AI adoption in healthcare can be challenging, but we've got your back! 🏥💪 This article covers ethical, technical, and regulatory hurdles while offering strategic solutions to overcome them. Discover more here: https://bit.ly/3KXBSuM
Top Challenges to Generative AI Adoption | Cloudticity
blog.cloudticity.com
-
It's no secret that navigating generative AI adoption in healthcare can be challenging, but we've got your back! 🏥💪 This article covers ethical, technical, and regulatory hurdles while offering strategic solutions to overcome them. Discover more here: https://bit.ly/3RBla87
Top Challenges to Generative AI Adoption | Cloudticity
blog.cloudticity.com
-
Research Affiliate at CJBS, regulatory innovations consultant and Freeman of the WCIB
What are the next steps for regulators in AI in the UK
Next steps on the UK AI regulatory agenda - Read our perspective. Scaling AI and GenAI in a Safe, Secure and Trusted environment is at the forefront of delivering productivity, business and societal value. From strategic roadmap, to robust & agile governance, upskilling, platform and cultural change, a lot can be done now; and for global organisations a need to understand the landscape across jurisdictions. https://lnkd.in/eFbhc_F6 Hugo Rousseau Rob McCargow Maria Luciana A. Raj Bharat Patel Matthew Dodgson Mo MESKARIAN, MBA, MSc Trishia Ani Catherine Dunkerley Peter El Khoury Timothy Chapman Francesca Wilkinson Katy Huang Freya Wills
Government sets out next steps for regulators on AI
pwc.co.uk
-
Excited to share our latest article on AI governance ✴️Given the rapidly evolving nature of AI technology, organizations need a flexible governance program that can mature alongside their AI applications and risk appetite. Our AI governance framework is designed to help organizations navigate the complexity of AI adoption. A special shout-out to my colleagues Clayton Mitchell and David Moncure, it's been a pleasure working with you on this article. Assess your AI readiness with our framework and ensure your organization is prepared for the future #AIGovernance #AI #CroweLLP
AI and Information Governance, eDiscovery, Data Privacy, and Cybersecurity Attorney Leader and Innovator who has built and implemented programs in those areas at Fortune 250 companies. CIPP/US certified
I'm excited to announce the publication of an article I co-authored with my colleagues Clayton Mitchell and Benjamin N. on AI Readiness and Crowe's AI Governance Framework.
Assess your AI readiness with our AI governance framework | Crowe LLP
crowe.com
-
Attorney | Fellow, Stanford Law School | Advisory Board Member, Stanford Artificial Intelligence Law Society | Adjunct Professor, University of Minnesota Law School | Public Speaker
I spoke today at a Lawline webinar about data quality control. A sampling of some key takeaways: ⚡ Generative AI requires looking at data from a supply chain perspective. ⚡ The AI Data Stewardship Framework looks at data from a life cycle perspective --> collection, use, storage, and disposition. ⚡ The AI Data Stewardship Framework renders data management a repeatable, documentable process that aligns with the Governance life cycle core principle. (For more on Governance check out https://lnkd.in/gRkxpDPk.) https://lnkd.in/e7mjR6Yp #generativeai #innovation #governance
Data Quality Control in AI: Navigating the AI Data Stewardship Framework
lawline.com
-
Fascinating article on the rise of enterprise AI tools and how Juniper Networks is strategically positioning itself to be a leader. The key takeaway is that successful AI implementation requires a thoughtful approach to infrastructure, data strategy, and the right tools. #JuniperNetworks #AI #EnterpriseAI
Enterprise AI tools and how Juniper's seeking to capitalize - SiliconANGLE
siliconangle.com
-
Co-Founder & CEO @ Interexy | Building software for SAP, General Electric, NYC & Governments
Embracing transparency in AI is essential for building trust. The latest Forbes article highlights the pivotal role of clear AI practices, something we prioritize at our software development company. Companies like Adobe and Salesforce exemplify the benefits of being open about their AI processes. 📌 https://lnkd.in/eJc3c2E6 As AI regulations tighten, including the forthcoming EU AI Act, maintaining transparency is a business imperative. #AI #EthicalAI #TransparencyInTech #ArtificialIntelligence #BusinessInnovation
-
Hear from some our our AI Leadership on how they are helping clients leverage their data and gain value!
Ready to turn data chaos into AI clarity? Join us on Thursday, November 21st at 2:00 PM ET and discover how to transform disorganized data into secure, scalable AI solutions. We'll uncover strategies for effective data governance, modernizing data into AI-ready insights, and seamlessly building and deploying AI applications. Don’t miss out—register today: https://bit.ly/3YYmWo4
-