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The 2024 State of Data Compliance and Security Report found 68% of organizations see a lack of solutions to tackle data privacy challenges in AI environments. Join Perforce & Delphix AI experts on September 18 to find what you should be thinking about when it comes to AI and data compliance https://lnkd.in/emUeKq22 #AI #ML #DataPrivacy

Is your AI’s success linked to data governance? #AIbsolutely! In today’s AI-driven world, data governance is essential. Strong AI relies not only on algorithms but also on the secure and efficient management of data. Without solid data governance, risks like inaccurate results and privacy breaches increase. What does it involve? ❋ Defines who manages data and how it's used. ❋ Ensures compliance and builds trust. ❋ Guarantees data quality and reliability. In our latest article, discover how robust data governance: Optimises AI performance, reduces security risks and supports informed decision-making.   🔗 https://bit.ly/4egtHGK #DataGovernance #AI #ArtificialIntelligence #DataManagement

🚨 AI Adoption in Government: A Landmark Moment 🚨 The House of Representatives' recent adoption of a baseline policy for AI use is a pivotal step in the future of artificial intelligence in the federal government. As AI continues to transform the landscape of public service, setting clear policies ensures that innovation is matched with accountability, ethics, and security. This policy is a critical framework that will guide the responsible integration of AI across agencies, impacting everything from compliance to workforce upskilling. The challenge now is ensuring that this technology is rolled out with security, privacy, and transparency at the forefront—a challenge we are ready to meet. How is your organization preparing for AI integration under these new guidelines? Let's discuss the roadmap to compliance and innovation. https://lnkd.in/erb3W7wc #AIinGovernment #DigitalTransformation #FedRAMP #FederalAI #CornerstoneOnDemand #LearningandDevelopment

𝗧𝗵𝗲 𝗘𝗨 𝗔𝗜 𝗔𝗰𝘁 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗨.𝗦. 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗢𝗿𝗱𝗲𝗿 𝗼𝗻 𝗔𝗜: 𝗦𝗮𝗺𝗲 𝗚𝗼𝗮𝗹, 𝗗𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀   In the race for global AI governance, the U.S. and the EU passed legislation to regulate AI within months of each other. Comparing these two approaches reveals significant differences.   Similarities are: • Goals: Both stress the importance of trustworthiness, cybersecurity, and data privacy. • Focus on foundation models: Technologically advanced implementations of AI are subject to the most significant compliance requirements. • Transparency: Providers of AI tools must publish certain technical specifications or results of safety tests. Services that utilize AI must disclose this to the user. • Monitoring: Even after release, AI tools must be monitored to ensure the previously mentioned goals are reached.   Companies will, however, notice important differences: • Scope of application: The Executive Order is not binding for the private sector, unlike the AI Act. • Enforcement: The AI Act will be enforced by national authorities like the national data privacy commissions. Companies can be fined up to EUR 35 billion or 7 % of their global revenue. • Risk-based approach: The AI Act adopts a risk-based regulatory framework, categorizing AI systems by risk level. • Specific technical requirements: The Executive Order aims to create industry standards and proposes specific security measures, such as sandboxing and red-team safety tests.   The U.S. and EU’s approaches both aim to balance innovation with citizen protection. The EU's stringent compliance regulation contrasts with the U.S.'s emphasis on promoting industry growth. The Executive Order is therefore mostly in line with the voluntary safety commitments of e.g., Microsoft, OpenAI and Google.

Aug 1st 2024 - The day to remember in history for future as the European Union has implemented the world's first comprehensive regulation on artificial intelligence, known as the AI Act. More to look out on this act. On August 1, 2024, the EU AI Act officially came into force, marking a groundbreaking step in global AI governance. This regulation, the first of its kind, categorizes AI systems into three risk levels: unacceptable, high, and low. 1. Unacceptable Risk: Systems like social scoring and manipulative AI are banned. 2. High Risk: Includes recruitment tools and biometric identification, requiring strict transparency and security measures. 3. Low Risk: Subject to lighter regulations to encourage innovation while ensuring safety. For businesses, particularly those developing high-risk AI, this means adhering to new compliance measures, including thorough conformity assessments. Non-compliance can result in substantial fines, similar to GDPR penalties. In the cybersecurity realm, the Act mandates robust protections to secure AI systems against vulnerabilities, setting a potential global standard for safe AI development and deployment. The EU AI Act is a significant move towards harnessing the benefits of AI while safeguarding individuals and society from its risks. For more details, check out the full articles here: https://lnkd.in/g3My7n39 https://lnkd.in/gmtSiR84 https://lnkd.in/gm44caR8 #AI #Regulation #Technology #Innovation #Cybersecurity #EUAIACT

Frontier Enterprise explores how the EU's AI Act could influence APAC's technology sector, from regulatory shifts to cybersecurity and innovation strategies. “Few can deny the benefits of generative AI, but critical questions associated with its use, such as ethical and cybersecurity concerns, remain to be addressed,” shared Andy Ng, VP Managing Director for Asia South and Pacific Region, Veritas Technologies LLC. Christina Montgomery, Vice President and Chief Privacy & Trust Officer at IBM, said, “I commend the EU for its leadership in passing comprehensive, smart AI legislation. We believe this risk-based approach will contribute to the creation of open and trustworthy AI ecosystems." Shama Patari, Executive Director of Government Relations at Lenovo, said, “With any evolving technology such as AI, it’s critical to balance advancements in innovation together with transparency and regulation. The EU’s AI Act is a welcome first step in bringing clarity to a complex and fast-moving landscape and ensuring that the industry at large is focused on its responsibilities." Peter Sandkuijl, VP of EMEA Engineering and Evangelist at Check Point Software Technologies Ltd, notes that while the initial focus of EU's AI Act may be on the hefty fines, the legislation has broader implications for the cybersecurity landscape. #AIregulation #artificialintelligence #EUAIAct

🚨 Update on AI Data Protection! 🚨 In a groundbreaking (or strategic?) move, President Biden has issued an executive order enhancing the privacy of Americans, with a keen focus on sensitive personal data. This pivotal action aims to shield genomic, biometric, personal health, geolocation, and financial information from unauthorized access. Key Highlights Stricter Data Transfer Rules: Restrictions on transferring critical data to "countries of concern" to mitigate surveillance and privacy violations. Unified Efforts for Data Protection: Collaborative regulations and standards across departments to prevent sensitive data access through federal grants and contracts. Call for Bipartisan Privacy Legislation: A push for comprehensive laws to ensure data protection across the U.S., highlighting the need for a national privacy standard. Global Impact This order not only protects American data but sets a precedent that could influence international data practices, urging a global shift towards stringent data protection standards. AI Industry Implications Enhanced Data Privacy Measures: AI companies must now adopt stricter privacy protocols, potentially driving up costs but also spurring innovation in privacy-preserving technologies. Impact on International Collaboration: Restrictions may challenge global AI research and development, necessitating new approaches to data sharing. Innovation and Compliance: There's an opportunity for innovation in AI privacy and security, alongside a need for AI products to comply with these new regulations. The Big Picture This executive order signifies a crucial step towards protecting personal privacy without curbing technological innovation. It underscores the importance of ethical considerations and responsible technology use in the AI domain, setting the stage for future developments in data protection and AI regulation. ______________________________________________________________________________ This is just a summary of the fact sheet along with my strategic thoughts of how this will affect the AI/ Gen AI industry. More information will be released about the order shortly. Read the Fact Sheet--> https://lnkd.in/ezqGikKj #innovation #airegulation #ai #dataprotection #privacylaw

𝗖𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲 𝘂𝗻𝗱𝗲𝗿 𝘁𝗵𝗲 𝗘𝗨 𝗔𝗜 𝗔𝗰𝘁: 𝗦𝘂𝗺𝗺𝗮𝗿𝘆 𝗮𝗻𝗱 𝗞𝗲𝘆 𝗜𝘀𝘀𝘂𝗲𝘀 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐧𝐨𝐭 𝐨𝐧𝐥𝐲 𝐟𝐨𝐫 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 The EU AI Act introduces strict regulations that categorize AI based on risk levels and require compliance and transparency from developers and users alike. Challenges include the cost of compliance inhibiting innovation, the different approaches to compliance assessment, the interaction risks between multiple AI systems, the lack of guidance for human oversight, the interpretability of transparency obligations and the interplay with the General Data Protection Regulation. Data engineers must ensure careful data management, security and governance to meet the new requirements. Data scientists face the challenge of developing ethical AI models that meet transparency standards and mitigate bias. 𝗥𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀: 𝗥𝗼𝗯𝘂𝘀𝘁 𝗖𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀: Implementing comprehensive documentation and cybersecurity measures to meet regulatory standards. 𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗔𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Mitigating biases in AI models and ensuring transparency in decision-making processes to comply with transparency obligations. 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗥𝗶𝘀𝗸 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Conducting thorough risk assessments and integrating human oversight mechanisms to mitigate potential risks effectively. Addressing these challenges requires clear guidelines, harmonized standards and continuous stakeholder engagement. Following these recommendations will not only ensure compliance with EU AI Act, but will also promote trust in AI technologies and their reliability. #AIregulation #EUAIAct #ArtificialIntelligence #DataEngineering #DataScience #GDPR #EthicalAI #Innovation #Compliance #EUregulations #GenerativeAI https://lnkd.in/d-B77swz

The European Data Protection Supervisor (EDPS) has released new guidelines on generative Artificial Intelligence and personal data for EU institutions, bodies, offices, and agencies (EUIs). These guidelines are designed to help EUIs comply with data protection obligations under Regulation (EU) 2018/1725 when using or developing generative AI tools. Key highlights of the guidelines include: - Clarifying when the use of generative AI involves processing personal data. - Guidance on conducting data protection impact assessments. - Practical examples to anticipate risks, challenges, and opportunities. The guidelines underscore core data protection principles to ensure EUIs' compliance with EU data protection law, specifically Regulation (EU) 2018/1725. #DataProtection #GenerativeAI #EDPS #EUCompliance #Privacy