The Data Protection and Privacy Hub™’s Post

🤝 Guidepost Solutions Joins U.S. AI Safety Institute Consortium (#AISIC) Today, Guidepost Solutions proudly announces its membership in the U.S. AI Safety Institute Consortium (AISIC), an initiative by the Department of Commerce's National Institute of Standards and Technology (NIST). Comprising more than 200 AI stakeholders, AISIC aims to foster the development and deployment of trustworthy and safe AI. As a member, Guidepost Solutions is committed to contributing its expertise in #AI, information security, and privacy to shape safe and responsible standards. Julie Myers Wood, CEO, shares, "We look forward to achieving the promises of AI while safeguarding against potential perils." Check out the full press release for more details: https://lnkd.in/eiJaXJ9C #AISIC @CommerceGov @NIST #AIInnovation #AIStandards #GuidepostSolutions #TeamGuidepost #InformationSecurity #Privacy 

The AI threat to high net worth clients, c-suite/board members, and law firm managing partners cannot be understated. Reputation damage, impact to stock prices, blackmail/extortion, and loss of confidence from regulators are all possible outcomes. More from my team to follow…

USA: NIST publishes draft documents on AI: On April 29, 2024, the U.S. Department of Commerce (DoC) announced that the National Institute of Standards and Technology (NIST) published four documents on artificial intelligence (AI) 180 days #dataprotection #dataprivacy #privacy

📊 The recent OECD report, "AI, Data Governance, and Privacy: Synergies and Areas of International Cooperation," released on June 26, explores the critical intersection of AI and privacy. It examines the risks associated with generative AI and provides key recommendations to strengthen synergies and foster international collaboration in AI, data governance, and privacy. #AI #DataGovernance #Privacy #OECD #InternationalCooperation 🌐🔒

At this week’s Tech Learning Series, Patricia Thaine from Private AI explained the importance of building a privacy layer for data processing, the concept of data minimization, and the integration of large language models into their pipeline. Thank you for sharing your insights! #tls #prohaskaconsulting #AI #privacy #security

🔬 This week's #ResearchMonday features a study titled "Scalable Extraction of Training Data from (Production) Language Models", revealing the brittleness of alignment in AI. The research shows that simply prompting a model like ChatGPT to repeatedly output a single word can lead to the unintended disclosure of its training data! 💥 ⛓ This finding challenges the effectiveness of current alignment techniques, highlighting significant security vulnerabilities. 🛡 This revelation is crucial in understanding the complex balance between model utility and data privacy, urging the AI community to reassess and strengthen alignment techniques in AI systems. #AIethics #Privacy #LLM https://lnkd.in/eS4aMrNj

Discover how Integral Ad Science (IAS) leads with transparency and ethical AI practices, earning TrustArc's Responsible AI Certification for data protection and privacy. Read the Latest full News - https://lnkd.in/d_dMdbnC #martech #martechedge #marketinginsights #ai #aicertification #dataprotection #privacy #businessgrowth #innovation #transformation #technology

🚨 [AI POLICY] 🇿🇦 South Africa has just released its "National Artificial Intelligence Policy Framework" 🚨 🧑⚖️ Ethical AI Development: The framework emphasizes the importance of ethical AI, integrating guidelines to ensure that AI systems are transparent, accountable, and promote fairness. 🔒 Data Governance: It includes strong data governance measures to protect privacy and enhance data security. 🔍 Transparency & Trust: Standards for AI transparency and explainability are highlighted to build trust among users and stakeholders. #Certainty #AIgovernance #EthicalAI #DataPrivacy #TransparencyInTech #AIPolicy

Model inversion attacks ➡️ what to do? In the study we are sharing today, the researchers delved into privacy risks in model inversion attribute inference attacks. In particular, they analyzed the potential leakage of sensitive information when providing external access to ML models, in this case for public collaboration. The experiment involved the use of synthetic data as: ✅ AI-generated information that mirrors real data patterns ✅ Privacy-preserving technique Swipe to discover the research results 👇 or read the full paper here: https://lnkd.in/dy3tbiMF #SyntheticData #ML #AI #Paper #Privacy #PETs

How can we harness the power of AI while ensuring our privacy remains protected? The potential of AI is undeniable, but what about the impact on privacy? We're diving deep into this topic in our latest blog post: https://lnkd.in/eYnHmZ6t Join us this Friday for a LIVE discussion with Rebecca Balebako! Rebecca is a Privacy Engineer who bridges the gap between cutting-edge AI and responsible data practices. She builds software that leverages the power of AI, but with privacy as a top priority. Rebecca will be sharing her insights on navigating the evolving landscape of AI and data protection. Don't miss out! Register for the free discussion here: https://lnkd.in/eGZYfCHr 🕧Date & Time: Friday, May 24th, 2024 | 12:30 PM – 1:30 PM #AI #Privacy #DataProtection #Discussion #privacyengineer #DataProtectionMadeEasy