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[…] contract performance, bringing Indonesia closer to global privacy frameworks. In November 2023, the Philippines‘ National Privacy Commission issued a Circular on Consent, clarifying valid consent standards and promoting transparency. The guidance aims to reduce consent fatigue by encouraging layered, contextual consent interfaces and outlines when consent may not be strictly necessary. South Korea amended […]

[…] high utility loss for QIs) Masking Obscure parts of data values (e.g., XXXX) Obscure direct identifiers Simple; Preserves format Limited privacy protection; Can reduce utility; Hard for free text Low (Insufficient for QIs in queries) Generalization Replace specific values with broader categories Reduce identifiability via QIs Basis for k-anonymity Significant utility loss, especially in […]

[…] while scraping has long existed in a legal gray area, the rise of AI has heightened privacy concerns. He challenged the perception that publicly available data is free for unrestricted use, noting that privacy laws are evolving to address these issues. The discussion explored potential regulatory solutions, emphasizing the importance of distinguishing between beneficial […]

[…] maintains consent as the general basis for the processing of personal data – similar to how it was regulated by the former LPVP. Consent must be “ free, informed and specific as to its purpose” and given “in advance and unequivocally” by means of a verbal or written statement, or expressed through electronic means […]

[…] and the United States. Dealing with these risks requires that greater attention be paid to geopolitical crises and legal fragmentation as a threat to protections for the free flow of data across borders.  The end of the ‘Brussels effect’? There has been much talk of the ‘Brussels effect’ that has allowed the EU to […]

[…] design features and characteristics may make them susceptible to new kinds of security threats. Adversarial attacks on LLMs, such as the use of prompt injection attacks to get these models to reveal sensitive information (e.g., credit card information), can impact AI agents too. Besides causing an agent to reveal sensitive information without permission, prompt […]

[…] must undergo a serious reckoning with privacy law. Scraping has evaded a reckoning with privacy law largely because scrapers act as if all publicly available data were free for the taking. But the public availability of scraped data shouldn’t give scrapers a free pass. Privacy law regularly protects publicly available data, and privacy principles […]

[…] their state law and displaying that information.  2. Update your passwords and multi-factor authentication regularly  Password re-use is one of the top ways that unwanted eyes can get into your accounts: once one service where you used a password is breached, criminals will likely try the same username and password combination on other services […]

[…] on streaming services to larger life decisions.” He highlights what will be one of the key privacy and data protection implications of all this: “AI companions will get unprecedented access to sensitive personal data, from financial transactions to private conversations and daily routines.” Protecting sensitive data in this context, especially with inferences broadly recognized […]

[…] creating sensitive inferences. Take a good look at vendor management. Don’t just rely on contractual constraints. If there are no technical monitoring or other controls in place, get a plan for some in product roadmaps. Deepen your relationships with various business teams (sales and marketing, product teams, etc.) so you know what they’re planning […]