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Lambert Hogenhout

Publications and source records attributed to Lambert Hogenhout.

2 recordsLinked to original sources

Protecting Persona Biometric Data: The Case of Facial Privacy

The proliferation of digital technologies has led to unprecedented data collection, with facial data emerging as a particularly sensitive commodity. Companies are increasingly leveraging advanced facial recognition technologies, often without the explicit consent or awareness of individuals, to build sophisticated surveillance capabilities. This practice, fueled by weak and fragmented laws in many jurisdictions, has created a regulatory vacuum that allows for the commercialization of personal identity and poses significant threats to individual privacy and autonomy. This article introduces the concept of Facial Privacy. It analyzes the profound challenges posed by unregulated facial recognition by conducting a comprehensive review of existing legal frameworks. It examines and compares regulations such as the GDPR, Brazil's LGPD, Canada's PIPEDA, and privacy acts in China, Singapore, South Korea, and Japan, alongside sector-specific laws in the United States like the Illinois Biometric Information Privacy Act (BIPA). The analysis highlights the societal impacts of this technology, including the potential for discriminatory bias and the long-lasting harm that can result from the theft of immutable biometric data. Ultimately, the paper argues that existing legal loopholes and ambiguities leave individuals vulnerable. It proposes a new policy framework that shifts the paradigm from data as property to a model of inalienable rights, ensuring that fundamental human rights are upheld against unchecked technological expansion.

cs.CR

A Framework for Ethical AI at the United Nations

This paper aims to provide an overview of the ethical concerns in artificial intelligence (AI) and the framework that is needed to mitigate those risks, and to suggest a practical path to ensure the development and use of AI at the United Nations (UN) aligns with our ethical values. The overview discusses how AI is an increasingly powerful tool with potential for good, albeit one with a high risk of negative side-effects that go against fundamental human rights and UN values. It explains the need for ethical principles for AI aligned with principles for data governance, as data and AI are tightly interwoven. It explores different ethical frameworks that exist and tools such as assessment lists. It recommends that the UN develop a framework consisting of ethical principles, architectural standards, assessment methods, tools and methodologies, and a policy to govern the implementation and adherence to this framework, accompanied by an education program for staff.

cs.CY