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🏛️California's New AI Regulations: A Step Toward Enhanced Data Security, Privacy and Compliance 🏛️ On November 8, 2024, the California Privacy Protection Agency (CPPA) took a step forward by advancing formal rulemaking on artificial intelligence (AI) and cybersecurity audits. This development comes at a time when data privacy concerns are paramount, particularly with the increasing integration of AI technologies in business operations. 📜 Key Provisions of the Proposed Regulations 📄 Transparency in Automated Decision-Making: The proposed regulations require businesses to disclose their use of Automated Decision-Making Technology (ADMT). Companies must provide consumers with clear information about the logic involved in these systems and the potential consequences of their use. This transparency is crucial for building consumer trust in AI applications. ❌ Consumer Rights to Opt-Out: Consumers will have the right to access information about how their data is used in ADMT and opt out of such processing. This shift emphasizes the importance of consumer control over personal data, aligning with broader trends in privacy rights. 🛡️ Mandatory Cybersecurity Audits: Certain businesses will be mandated to conduct annual cybersecurity audits to ensure compliance with the California Consumer Privacy Act (CCPA). These audits will include specific criteria and standards, helping organizations identify vulnerabilities and enhance their data protection measures. 📊 Regular Risk Assessments: The regulations also require businesses to perform regular risk assessments to identify potential privacy risks associated with their data processing activities. Documentation of these assessments must be made available to the CPPA upon request, ensuring accountability and proactive risk management. 🕒 Public Comment Period: Following the advancement of these regulations, there will be a 45-day public comment period where stakeholders can provide feedback. This process allows for community input and helps refine the proposed rules before they are finalized.   The path to implementation for these new regulations involves several steps: 1. Finalization by CPPA: After the public comment period and any necessary revisions, the CPPA will finalize the regulations. 2. OAL Review: Once finalized, the regulations will be submitted to the Office of Administrative Law (OAL) for review and approval. This step ensures that the regulations meet legal and procedural requirements. 3. Effective Date: If approved by the OAL, the regulations are expected to become effective by mid-2025. This timeline gives businesses approximately 18 months to prepare for compliance. Read more about the Regulatory Timeline, Implementation and Implications to Businesses in our Blog: Aligned by Tillion AI (links in the first comment).

🔍🤖 Navigating AI Ethics: Addressing Privacy Risks in Recruitment Tools 📢 A recent report by the UK's Information Commissioner’s Office (ICO) has brought attention to serious privacy concerns in the use of AI recruitment tools. The ICO’s audit exposed practices such as filtering candidates based on protected characteristics, inferring sensitive information like gender and ethnicity from names, and gathering excessive personal data without proper consent. These findings underscore the urgent need for robust data privacy measures within AI applications. At Tillion.ai, we’re addressing these challenges by: 🔒 Automatically linking data use to relevant policy items. 🌍 Generating policy summaries in original languages. 🗺️ Mapping data usage and vendor activities to policies. ⚠️ Assessing and prioritizing data misuse risks. 📋 Providing actionable recommendations for policy and code issues. The ICO’s report offers nearly 300 recommendations to enhance privacy protection in AI tools and highlights the growing regulatory focus on ethical data use in technology 📊. As companies increasingly leverage AI for efficiency, it's crucial to align innovation with practical needs and responsible data practices. Tillion.ai is committed to helping organizations navigate this complex landscape, promoting compliance and safeguarding data integrity in AI-powered processes. 🔍 For a deeper dive, see the ICO report in the first comment. #AIGovernance #DataPrivacyStrategies #DataProtection #ResponsibleDataUse

The Growing Call for Data Privacy: Insights from Recent Research 📚✨ As the digital landscape expands, so do concerns over personal data privacy. According to a Pew Research Center report dated October 18, 2023, public apprehension about data privacy risks has reached a new high, with many individuals feeling they lack control over their own data. The findings paint a clear picture: people are increasingly wary of how companies collect, store, and use their personal information. 🔒📱 📊 Key Findings The survey reveals that 81% of Americans feel very or somewhat concerned about how companies use the data they collect. This high level of concern highlights the growing unease around data privacy in the digital era. 😟💻 ⚠️ Lack of Control and Understanding A significant 73% of Americans report feeling they have very little or no control over the data companies collect on them, a concern heightened by the lack of understanding about how data is actually used. Notably, 67% of respondents admit they have very little or no understanding of how companies manage their personal information—up from 59% in 2019. 🤔🔍 🚨 Specific Privacy Concerns The research highlights particular privacy concerns that weigh heavily on people’s minds: 📉💸 42% are very worried about companies selling their personal information without consent. 🔐🚫 38% are very worried about the risk of identity theft or personal data misuse. 🤖 Trust in AI and Social Media Companies The study also reveals a significant trust deficit with emerging technologies and social media platforms. Of those familiar with AI, 70% have little to no confidence that companies will make responsible decisions about AI in their products. This skepticism extends to social media companies as well, with 77% having little or no faith in these companies’ leaders to publicly acknowledge and take responsibility for any data misuse. 😬🤖📉 These insights underscore an urgent call to action for organizations to prioritize transparency and responsibility in data handling. As awareness and concern about data vulnerability grow, businesses must adopt robust data management strategies and adhere to privacy regulations to rebuild and maintain public trust in this dynamic digital landscape. 🌐✅ At Tillion, we recognize that fostering consumer confidence in data security and privacy is essential. Our platform empowers companies to align their operations with comprehensive privacy laws and best practices, easing consumer concerns by ensuring that data handling processes are transparent, compliant, and secure. By partnering with Tillion, organizations can reassure their customers that their personal information is treated responsibly, helping to bridge the trust gap in an era of digital uncertainty. 🤝✨ 🔗 Link to the full report in the first comment.

Great report published by IAPP on the current state of #US #privacy laws 🇺🇸. Here are some noteworthy trends: 🌍 𝐄𝐱𝐩𝐚𝐧𝐝𝐢𝐧𝐠 𝐒𝐜𝐨𝐩𝐞: Seven (!) new laws were enacted in 2024 alone, increasing the number of US states with comprehensive privacy laws. 👉 𝐒𝐡𝐢𝐟𝐭𝐢𝐧𝐠 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐓𝐡𝐫𝐞𝐬𝐡𝐨𝐥𝐝𝐬: Companies must assess if their activities trigger applicability under each state's privacy laws, considering factors like revenue thresholds and personal data processing volume. Even if not directly applicable (e.g. in the #b2b space), requirements may come from corporate customers. 🧠 𝐒𝐞𝐧𝐬𝐢𝐭𝐢𝐯𝐞 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧: Categories requiring heightened protection are expanding, with some states including new types such as precise #geolocation and even neural data. ⬇ 𝐃𝐚𝐭𝐚 𝐌𝐢𝐧𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Emphasis on data governance is increasing, with laws requiring businesses to limit data collection to what is "adequate, relevant, and reasonably necessary." 📒 𝐑𝐮𝐥𝐞𝐦𝐚𝐤𝐢𝐧𝐠: States like Colorado, California, New Jersey, and New Hampshire have granted rulemaking authority to state agencies - their guidance will be crucial for understanding privacy law requirements. 🚫 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐚𝐥 𝐎𝐩𝐭-𝐎𝐮𝐭: More states are implementing universal opt-out mechanisms, providing consumers with streamlined ways to exercise their privacy rights across platforms. Lots to digest, and A LOT to look forward to in 2025! Here's a map of current states with comprehensive privacy laws:

As Sensitive and Personal as it gets: California Expands Privacy Law to Protect Neural Data 🧠🔒 On October 4, 2024, California took a significant step in privacy protection by signing SB 1223 into law, amending the California Consumer Privacy Act (CCPA). This legislation, set to take effect on January 1, 2025, now classifies neural data as "sensitive personal information," granting it the same level of protection as biometric and genetic data. 🔍 What is Neural Data? The law defines neural data as "information generated by measuring the activity of a consumer's central or peripheral nervous system, and that is not inferred from non-neural information." This encompasses data collected through advanced neurotechnology, from brainwave-reading devices to neurofeedback wearables. 📈 The Neurotechnology Market: a $21 Billion market by 2026 California State Senator Josh Becker highlighted: "Today, the market for neurotech is growing at an annual rate of 12% and is expected to reach $21 billion by 2026." This growth underscores the urgency of addressing privacy risks unique to neural data, including its potential misuse in advertising, employment, and surveillance. 🗝️ Key Provisions of SB 1223 Classifies neural data as "sensitive personal information" ❌ Gives individuals the right to opt out of sharing or selling their neural data ✅ Requires informed consent before any processing of neural data occurs 📜 Establishes strict guidelines for the collection, use, and sharing of neural data 🔒 Implications for Businesses and Privacy Law For businesses, especially those in neurotechnology, SB 1223 mandates a significant shift in data handling practices. Organizations meeting CCPA thresholds must now ensure compliance with rigorous protections, updating privacy strategies to align with the high standards set for neural data security. This bipartisan-supported amendment reflects California's commitment to keeping pace with rapid tech advancements while safeguarding individual rights. Building on a foundation of robust privacy measures, SB 1223 sets a significant model for neural data protection, with the potential to influence similar protections across other states and even at the federal level. ❓ Criticisms and Future Considerations While SB 1223 is a significant step forward, some experts argue that it doesn’t go far enough and should include other forms of cognitive biometric data. This debate highlights the ongoing challenge of balancing innovation with privacy protection in the rapidly evolving field of neurotechnology. As neurotechnology becomes increasingly integrated into our lives, regulations like SB 1223 are vital to keeping individuals' most intimate data private and secure. This law sets a precedent that could influence national and global discussions on digital privacy rights in the age of advanced neurotechnology. #DataPrivacy #NeuralData #CCPA #Neurotechnology #CaliforniaPrivacyLaw #ConsumerProtection #PrivacyCompliance

🗽New York Joins California, Colorado & more U.S. States Shaping the Future of Data Privacy. Highlights and key trends Below💡 As data privacy concerns rise, U.S. states are stepping up with more privacy regulations. While California has long held the crown with the CCPA and CPRA, New York is fast becoming a key player, with acts such as the SHIELD Act 🛡️ and the NYDFS Cybersecurity Regulation 🔒that indicate New York's commitment to balancing consumer privacy with business innovation. Recently, New York introduced the New York Privacy Act and Child Data Protection Act, highlighting its proactive stance in protecting consumer data, particularly for vulnerable populations like children. These efforts signal that New York’s privacy framework will likely influence not just state, but national and international privacy discussions. ⚖️ Here's a look at other U.S. states leading the charge in 2024: 🥇 California: Still the U.S. gold standard with comprehensive enforcement of CCPA and CPRA. 🏔️ Colorado: Leading with universal opt-out mechanisms and strong enforcement of its privacy laws. 🌟 Virginia: One of the first states to adopt privacy laws modeled after GDPR with the VCDPA. 📝 Connecticut: Known for consumer-friendly provisions like the right to appeal denied data requests. 🦀 Maryland: A fairly new contender with the Maryland Online Data Privacy Act (MODPA), focusing on data minimization. 🗽 New York: Making waves with its proposed Privacy Act and Child Data Protection Act. Key Trends Across U.S. States: • A growing focus on children’s privacy protections.   • States are adopting unique, often more stringent, privacy provisions.   • Heightened enforcement measures are becoming the norm.  At Tillion.ai, we’re committed to helping businesses navigate this evolving privacy landscape, ensuring compliance with both state-specific and national regulations. 📈 📚 References in the first comment #DataPrivacy #NYDFS #SHIELDAct #Innovation #TillionAI #Cybersecurity #BusinessCompliance #USPrivacyLaws #TechPolicy

🚨 Meta Fined €91 Million for GDPR Violations 🚨 Meta was fined €91 million ($106 million) by the Irish Data Protection Commission (DPC) for storing millions of user passwords in plaintext, violating GDPR. Although Meta informed the DPC about the breach in 2019 (link to the post in the comments), the investigation found that the notification was neither timely nor comprehensive ⏳. Under GDPR, breaches must be reported within 72 hours, and Meta failed to maintain adequate records 📋. Additionally, Meta did not implement the necessary safeguards to protect user data, violating GDPR mandates. This case demonstrates that simply reporting an issue is not enough – Compliance with privacy laws requires not just transparency but proactive measures to prevent breaches 🔍. This fine adds to Meta’s previous penalties, including: -> $1.31 billion for improper data transfers -> $426 million for ad targeting violations, and -> $443 million for failings in its handling of minors' data on Instagram. These repeated violations underscore the importance of compliance with privacy laws – companies that fail to protect user data face severe financial penalties and reputational damage.

New on Aligned: a blog by Tillion AI -- the Knowledge Base 📚 A continuously expanding collection of resources dedicated to AI, Data, Security, Governance, Privacy, and Compliance🛡. Whether you're a data professional or simply curious, we hope you'll find this resource as valuable as we do! We're kicking it off with our tracking table of Global Data Laws, including names, links, descriptions and acronyms 🧐 There's never a complete or flawless list, so feel free to send us your feedback, additions and corrections. 🔗 Link in the first comment below

📢 New on Privacy Essentials 📢 Our "Privacy Essentials" series continues! This time, we're diving into the significance of the Data Processing Agreement – also known as the Data Processing Addendum or a DPA. Check out the full post and explore more content on Aligned: A Blog by Tillion AI. 🔗 https://blog.tillion.ai/ #PrivacyEssentials #DataProtection #DPA #Compliance #TillionAI #DataPrivacy

🌐 Google’s AI Model Faces Major GDPR Investigation 🛡️ On Thursday, September 12, 2024, the Irish Data Protection Commission (DPC) opened an investigation into Google’s Pathways Language Model 2 (PaLM 2) 📊, an AI system used for natural language processing. This marks a step in European regulators' ongoing oversight of tech giants, as they aim to ensure that new AI technologies are developed with robust privacy safeguards 🔒. The investigation centers around whether Google conducted a Data Protection Impact Assessment (DPIA) as required under the EU’s General Data Protection Regulation (GDPR) ⚖️. Specifically, the DPC is investigating whether Google properly evaluated how the collection and use of personal data from individuals located in the European Economic Area (EEA)  🇪🇺 to train its AI models might infringe on individuals' fundamental rights and freedoms. “A Data Protection Impact Assessment (DPIA), where required, is of crucial importance in ensuring that the fundamental rights and freedoms of individuals are adequately considered and protected when processing of personal data is likely to result in a high risk” the Irish authority added. Should the DPC find that Google violated GDPR, the company could face fines of up to 4% of its global annual revenue, potentially amounting to multimillion-euro penalties. 🔍 This investigation is part of a broader trend of increasing scrutiny over how tech firms process personal data to build powerful AI systems 🖥️. Companies like Meta and X (formerly Twitter) have already been subjected to similar reviews, underscoring the urgency for responsible AI development and compliance with privacy regulations 📜. This serves as a critical reminder for all businesses leveraging AI 🤖: ensure your AI solutions are designed with privacy by design and by default to safeguard user data and comply with GDPR 🛡️. At Tillion.ai, we understand the importance of privacy by design in AI systems. Our platform provides automated tools 🛠️ to help organizations ensure their AI solutions align with regulatory requirements, including GDPR ✅. By proactively assessing and managing data risks, we help businesses build trust with their customers and mitigate compliance challenges. 👉 Link to the the full article in the first comment.