The global governance on automated facial recognition (AFR): ethical and legal opportunities and privacy challenges

Qingxiu Bu

35 citations0/0 files storedInternational Cybersecurity Law Review

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Digitalization, Law, and Regulation Ethics and Social Impacts of AI Face recognition and analysis

Abstract

Abstract The digital revolution transforms people’s view about values and priorities. Automated facial recognition (AFR) comes with many concerns as well as benefits. The technology raises significant legal and ethical challenges, which risk perpetuating systemic injustice unless countervailing measures are put in place. The way facial images are obtained and used, potentially without consent or opportunities to opt out, can have a negative impact on people’s privacy. Laws on privacy vary across jurisdictions, which has an enormous effect on measures that could be taken to safeguard AFR-related ethical concerns. In an era of digitalisation, the existing laws are ill-equipped to address evolving needs against threats to individual privacy. Integrating the principles of proportionality and necessity, of the upmost importance is to ensure the proper use of AFR in a socially responsible way. It is imperative to build an AFR infrastructure that incorporates society’s legal and ethical commitments, and further address the challenges of governing the technology.

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References

2015Big other: Surveillance Capitalism and the Prospects of an Information Civilization 2008Human Dignity and Judicial Interpretation of Human Rights 2018Governing artificial intelligence: ethical, legal and technical opportunities and challenges 2013What Is Privacy Worth?2018Constitutional democracy and technology in the age of artificial intelligence 2017The Virtual Weapon and International Order 2014Regulating the Internet of Things: First Steps toward Managing Discrimination, Privacy, Security, and Consent 2019INTERNATIONAL HUMAN RIGHTS LAW AS A FRAMEWORK FOR ALGORITHMIC ACCOUNTABILITY

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2024Mirror, Mirror on the Wall, Who Is the Whitest of All? Racial Biases in Social Media Beauty Filters 2022Regulating the use of facial recognition technology across borders: A comparative case analysis of the European Union, the United States, and China

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