Regulation relevant to (long-form) audio recordings gathered in Namibia

Mathilde Leon and Alejandrina Cristia
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Alejandrina Cristia: Centre Nationale de la Recherche Scientifique

No dknj4, OSF Preprints from Center for Open Science

Abstract: In the context of research using machine-learning tools on audio-recordings gathered in several countries, the LAAC Team sought to systematize regulation relevant to such data. The most important legal issue is data protection. Data protection is an important part of using and operating technology to protect human rights, and both at the international level and at other levels in many countries, a great deal of regulation has been created to address it. In addition, we also considered regulation referencing issues on which there are fewer regulations as of yet: informed consent, machine-learning bias and the possibility of discrimination, duty to report illegal activities, and intellectual property (potentially) emerging from aboriginal resources. In this document, we provide an overview of international and national law applicable to the protection of data collected in Namibia. Whenever possible, we explain in what way a given piece of regulation is relevant to long-form audio-recordings.

Date: 2023-03-02
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:dknj4

DOI: 10.31219/osf.io/dknj4

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