T. Synaepa-Addison’s Post

AI, DATA GOVERNANCE AND PRIVACY SYNERGIES AND AREAS OF INTERNATIONAL CO-OPERATION OECD ARTIFICIAL INTELLIGENCE PAPERS_ The intersection of AI, data governance, and privacy, and ways in which policy communities can collaborate to address related risks, especially with the rise of generative AI.

Learn to build secure and responsible conversational AI with our free course, gaining insights on identifying biases, ensuring user privacy, and understanding the need for human oversight. Equip your team with the knowledge to create ethical AI—register now and start transforming your projects! http://msft.it/6043mfsdl

The Intersection of AI and Privacy Regulations 🤖 🗂 Our new blog post attempts to link the relationship between AI and privacy regulations, with a focus on AI-powered features from Google that are meant to enhance measurement. Read more about it here: https://shorturl.at/duBCX

Happy Data Privacy Day! 🎉 Today's the day! Join us for an insightful webinar on AI and privacy management. Last chance to register! 🕒🔗 Register here: https://lnkd.in/g2V42xUF 🗓️ Let's make an impact together on Data Privacy Day 2025! #DataPrivacyDay #AI #PrivacyAwareness

🤖 Unlock the power of AI! Boost productivity and creativity with smart tools. Stay updated, experiment, and always prioritize data privacy. #AITips #TechSmart 🚀 #AIForGood #AITips #AIinBusiness #MachineLearningTips

In the era of AI, data privacy is paramount. Accion Labs ensures that your business data stays protected by integrating privacy-enhanced GenAI models that keep external AI from accessing sensitive information. We prioritize secure, private AI solutions tailored to your needs. Read more: https://lnkd.in/g3DjuQSK #DataPrivacy #SecureAI #GenerativeAI #AccionLabs #AITrust

The IPC recently released its Guide to understanding Privacy Impact Assessments on AI systems and projects. The guide was developed to support agencies in understanding, assessing and reducing privacy risks in relation to the use of AI systems and projects when undertaking Privacy Impact Assessment. View the guide here: https://bit.ly/4jeaDMt

While AI has increasingly become mainstream, it has also stirred up a maelstrom of unanswered questions for organizations everywhere. 1. How can we derive practical value from AI? 2. What is the most cost-effective way to operationalize it? 3. What about data privacy? #AIStrategy #EnterpriseAI #DumaIntelligence

The barriers to adopting artificial intelligence (AI) systems have significantly decreased, leading to increased workplace experimentation. While AI tools provide unmatched efficiency and innovation, they also present organizational risks, security, privacy, and governance challenges. Michael Kearney and Judy Branham, J.D., CIPP discuss important policy considerations for AI governance in the Mealey’s Litigation Report: Artificial Intelligence article “Fine-Tuning Your Policy Statements for the Age of AI.” They outline strategies for developing new policies and refining existing ones, highlight emerging laws, such as Colorado’s Artificial Intelligence Act and the EU AI Act, and provide best practices for managing AI-related risks. Read the article here to learn how your organization can stay ahead in this evolving landscape: https://lnkd.in/dzWyjUF2

Data privacy is one of the biggest concerns I hear from organizations when it comes to AI. If you're looking to ensure your employees are aware of the risks generative AI brings and keep data secure, check out my latest lunch and learn offering, available virtually via Zoom.