数据隐私
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Hong Kong regulator: Worldcoin’s biometric data collection violates privacy laws
The Office of the Privacy Commissioner for Personal Data (PCPD) pointed out that Worldcoin’s practices violated Hong Kong’s data protection principles.
The highly controversial Worldcoin project is facing another challenge. Hong Kong’s privacy regulator, the Privacy Commissioner for Personal Data (PCPD), has issued a directive to the Worldcoin Foundation to cease all business activities in Hong Kong because its actions violated local privacy protection laws.
The PCPD released a statement this week revealing that Worldcoin collected facial and iris biometric data from at least 8,302 individuals during its operations in Hong Kong.
The highly controversial Worldcoin project is facing another challenge. Hong Kong’s privacy regulator, the Privacy Commissioner for Personal Data (PCPD), has issued a directive to the Worldcoin Foundation to cease all business activities in Hong Kong because its actions violated local privacy protection laws.
The PCPD released a statement this week revealing that Worldcoin collected facial and iris biometric data from at least 8,302 individuals during its operations in Hong Kong.
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Why is data security important for#AItraining?
AI requires data provenance for training, and while some data is public and can be used publicly, much of it is the intellectual property of the data provider or individual. The use of this data may require specific licensing or involve compensation. Additionally, workloads may be computationally intensive, which blockchain technology alone cannot provide. ROSE is in a unique position to address these needs through its confidentiality capabilities and framework.
The ROSE team is developing a new product that builds on the consensus layer and the previous success of Sapphire ParaTime, combining them with verifiable off-chain computation, which uses the same underlying cryptography as the ROSE network today. Verifiable off-chain capabilities will address the needs of AI compute-intensive workloads, as well as the data confidentiality and runtime integrity required when using proprietary data in AI training. We believe this is the cornerstone of decentralized AI. #AI幣 #AI模型 #数据隐私 $ROSE
Why is data security important for#AItraining?
AI requires data provenance for training, and while some data is public and can be used publicly, much of it is the intellectual property of the data provider or individual. The use of this data may require specific licensing or involve compensation. Additionally, workloads may be computationally intensive, which blockchain technology alone cannot provide. ROSE is in a unique position to address these needs through its confidentiality capabilities and framework.
The ROSE team is developing a new product that builds on the consensus layer and the previous success of Sapphire ParaTime, combining them with verifiable off-chain computation, which uses the same underlying cryptography as the ROSE network today. Verifiable off-chain capabilities will address the needs of AI compute-intensive workloads, as well as the data confidentiality and runtime integrity required when using proprietary data in AI training. We believe this is the cornerstone of decentralized AI. #AI幣 #AI模型 #数据隐私 $ROSE
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Oasis Labs announced a collaboration with MetaAI to use its cutting-edge privacy technology to evaluate the fairness of Meta AI models while protecting people's privacy. As a technology partner of Meta, Oasis Labs has built a platform that uses secure multi-party computation (SMPC) to protect information. It is used to explore new uses of emerging Web3 technologies based on blockchain networks. The goal is to provide further global accessibility, audibility, and transparency around the conduct and collection of survey data and its use in measurement.
This is an unprecedented use of these technologies to measure the fairness of AI models at scale in the real world. In this collaboration with Meta, Oasis Labs is committed to building a fairer and more inclusive society, safer artificial intelligence, and responsible data use.
#AI幣 #数据隐私 $ROSE
Oasis Labs announced a collaboration with MetaAI to use its cutting-edge privacy technology to evaluate the fairness of Meta AI models while protecting people's privacy. As a technology partner of Meta, Oasis Labs has built a platform that uses secure multi-party computation (SMPC) to protect information. It is used to explore new uses of emerging Web3 technologies based on blockchain networks. The goal is to provide further global accessibility, audibility, and transparency around the conduct and collection of survey data and its use in measurement.
This is an unprecedented use of these technologies to measure the fairness of AI models at scale in the real world. In this collaboration with Meta, Oasis Labs is committed to building a fairer and more inclusive society, safer artificial intelligence, and responsible data use.
#AI幣 #数据隐私 $ROSE
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