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3 things privacy professionals should consider at the intersection of AI and data privacy The Checks team shares three things that privacy professionals should consider when thinking about AI and privacy in 2024.

This is a short, insightful article by Nicholas Piachaud at the Mozilla Foundation - essentially arguing why privacy should be at the core of AI Policy debates. Nicholas also stresses the importance of open-source solutions as "key to both trustworthy AI and not at odds with privacy. For example, open source can accelerate privacy-preserving techniques in AI by enabling people to run models on their private devices with private data. Open source unlocks many other opportunities, too, like an increased ability to scrutinize AI models and more competition in the marketplace." Read the whole article here: https://lnkd.in/eZfxbrQz

5 Things Privacy Professionals Should Consider At The Intersection of AI And Data Privacy In an era where artificial intelligence (AI) is rapidly evolving, the role of privacy professionals has never been more critical. As AI technologies increasingly intersect with personal and sensitive data, navigating the complexities of data privacy becomes a formidable challenge. This extended discussion delves into the essential considerations for privacy professionals at the forefront of AI and data privacy, aiming to provide a comprehensive guide in a landscape marked by continuous technological advancements and regulatory shifts. 1. Embrace Evolving Privacy Regulations The first step for privacy professionals is to embrace the ever-evolving privacy regulations. As jurisdictions around the world update […] https://lnkd.in/dGGfuGWb https://lnkd.in/dwSkitE9

We sat down with Maneesha Mithal to discuss how to innovate AI technologies while also making space for privacy considerations. 🤝 Explore her perspective on the state of AI and learn why the proper processing of personal information is our collective responsibility: https://adobe.ly/42oBdKJ

Here are four ways to help your business navigate data privacy in the age of AI. Read more: https://hubs.li/Q02tjmZy0 Post written by Jodi Daniels, Forbes Councils Member.

“Scraping is generally anathema to the core principles of privacy that form the backbone of most privacy laws, frameworks, and codes. With the zealous pursuit and astronomical growth of AI, we are in the midst of what we call the ‘great scrape.’ There must now be a great reconciliation.” - From my article, “The Great Scrape" with Woody Hartzog, https://lnkd.in/eN9xKKke

WEBINAR - Data privacy in the age of AI April 17, 2024 | 10am EDT | 3pm BST In this webinar, we’ll discuss the evolution of privacy and data protection for AI technologies. We’ll examine: - Key considerations for assessing and implementing AI - The interplay of existing data protection obligations and forthcoming AI regulations like the EU AI Act - Strategies for evolving privacy programs in support of AI regulatory compliance https://lnkd.in/d_2zj26C #onetrust #ai #dataprivacy

🚨 Congratulations to Daniel Solove for His Insightful New Article 🚨 We’re excited to share that MUSA has been mentioned in Daniel Solove’s thought-provoking article, “The Great Scrape: The Clash Between Scraping and Privacy.” 📚✨ We want to extend our gratitude to Solove for his exceptional work in tackling the complex issue of data scraping and privacy. In his article, Solove explores the escalating conflict between scraping practices and privacy laws, framing it as the “Scraping Wars.” This high-stakes struggle involves advanced scraping techniques and defensive measures, highlighting the urgent need for balance between innovation and privacy. Solove’s piece sheds light on how scraping technologies, which support AI and data aggregation, often clash with fundamental privacy rights. The relentless growth of scraping presents serious challenges, even as many organizations strive to protect their data. At MUSA, we are proud to be at the forefront of addressing these critical issues. Our mission is to safeguard data from unauthorized scraping and misuse by promoting best practices, educating the public, and providing insights to policymakers. 🌐💡 We appreciate Solove’s recognition and are committed to advancing the conversation on reconciling scraping practices with privacy laws. Stay tuned for more updates as we continue to champion privacy and data security. Together, we can navigate the great scrape and advocate for a balanced approach to data use. 🙌🔍 #MUSA #DataPrivacy #ScrapingWars #AI #PrivacyLaw #DataProtection #TechEthics

Alarming Facts About AI and Data Privacy You Need to Know Now

“Scraping is generally anathema to the core principles of privacy that form the backbone of most privacy laws, frameworks, and codes. With the zealous pursuit and astronomical growth of AI, we are in the midst of what we call the ‘great scrape.’ There must now be a great reconciliation.” - From my article, “The Great Scrape" with Woody Hartzog, https://lnkd.in/eN9xKKke