Abstract
The unavailability of identification documents is a determining factor leading to social and economic exclusion for undocumented people. They cannot interact with public bodies and private subjects in an official way, so they cannot access services (healthcare, education, social welfare, etc.) or obtain formal employment. This sort of ‘identity gap’ between undocumented people and individuals with ID documents exacerbates socioeconomic discrepancies and inequalities and does not permit inclusive social development. Artificial intelligence represents a valid instrument in accomplishing the goal to provide legal identity for all. AI algorithms could take care of several related tasks, such as identity authentication/validation, data matching and storage. However, using AI tools to collect and manage identity-related data comes with risks and drawbacks worth mentioning. Social and cultural influences contribute to the development of personal identity that is not limited to official documents. Thus, AI-driven technologies deployed in identity management should also consider such elements in performing their tasks. This chapter argues for adequate human rights safeguards when deploying AI algorithms to manage identity-related data. More specifically, this contribution calls for human oversight mechanisms and the periodical recalibration of such algorithms to address mutating environmental variables in the development of personal identity.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
IOM World Migration Report, https://worldmigrationreport.iom.int/2020 (last access 23/12/2021).
- 2.
A brief summary of the New Pact on Migration and Asylum is available at the following link https://ec.europa.eu/info/strategy/priorities-2019-2024/promoting-our-european-way-life/new-pact-migration-and-asylum_en (last access 19/12/2021).
- 3.
Regulation (EU) No 603/2013 of the European Parliament and of the Council of 26 June 2013 on the establishment of ‘Eurodac’ for the comparison of fingerprints.
- 4.
Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data and repealing Directive 95/46/EC
- 5.
Proposal for a REGULATION OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL LAYING DOWN HARMONISED RULES ON ARTIFICIAL INTELLIGENCE (ARTIFICIAL INTELLIGENCE ACT) AND AMENDING CERTAIN UNION LEGISLATIVE ACTS, COM/2021/206 final.
References
Akrich, M. 1992. The Descriptiong of Technical Objects. In Sha** Technology/Building Society. Studies in Sociotechnical Change, ed. W. Bijker and J. Law, 205–224. Cambridge: The MIT Press.
Al Tamimi, Y. 2018. Human Rights and the Excess of Identity: A Legal and Theoretical Inquiry into the Notion of Identity in Strasbourg Case Law. Social & Legal Studies 27 (3): 283–298.
Bansak, K., et al. 2018. Improving Refugee Integration Through Data-Driven Algorithmic Assignment. Science 359 (6373): 325.
Bathaee, Y. 2018. The Artificial Intelligence Black Box and the Failure of Intent and Causation. Harvard Journal of Law and Technology 31: 889.
Bechmann, A. 2019. Data as Humans. In Human Rights in the Age of Platform, ed. R.F. Jorgensen, 88. Cambridge.
Blasi Casagran, C. 2021. Fundamental Rights Implications of Interconnecting Migrations and Policing Databases in the EU. Human Rights Law Review 21: 433.
Carammia M., Dumont J.C., Can We Anticipate Future Migration Flows? 16 May 2018., https://www.oecd.org/els/mig/migration-policy-debate-16.pdf. Last accessed on 10 Dec 2021
Cheng, C.Y. 1998. Transforming Confucian Virtues into Human Rights. In Confucianism and Human Rights, ed. W.T. De Bary and W. Tu, 154. New York: Columbia University Press.
Du Gay, P. 1996. Who Needs Identity. In Questions of Cultural Identity, ed. P. Du Gay and S. Hall, 1–17. London: SAGE.
Espin-Leòn, A., et al. 2020. Quantification of Cultural Identity Through Artificial Intelligence: A Case Study on the Waorani Amazonian Etnicity. Soft Computing 24: 11045–11057.
Floridi, L. 2012. Technologies of the Self. Philosophy & Technology 25: 271–273.
Gelb, A., and J. Clark. 2013. Identification for Development: The Biometrics Revolution. Center for Global Development Working Paper 315, January 2013. https://www.cgdev.org/publication/identification-development-biometrics-revolution-working-paper-315. Last accessed on 15 Nov 2021.
Glaser A. 2017. ICE Wants to Use Predictive Policing for Its “Extreme Vetting” Program, 8 August 2017, Slate, https://slate.com/technology/2017/08/ice-wants-to-use-predictive-policing-tech-for-extreme-vetting.html. Last accessed on 10 Dec 2021
Global ID4D Dataset. 2021. https://id4d.worldbank.org/global-dataset. Last accessed on 16 Nov 2021
Goodman, B., and S. Flaxman. 2017. European Union Regulations on Algorithmic Decision-Making and a Right to Explanation. AI Magazine 38 (3): 50–57. https://arxiv.org/abs/1606.08813. Last accessed on 23 Dec 2021.
Grossberg, L. 1996. Identity and Cultural Studies: Is That All There Is? In Questions of Cultural Identity, ed. P. Du Gay and S. Hall, 90. London: SAGE.
Hall, S. 1990. Cultural Identity and Diaspora. In Identity: Community, Culture and Difference, ed. J. Rutherford, 222–237. London: Lawrence & Wishart.
Ho, D.Y.F. 1995. Selfhood and Identity in Confucianism, Taoism. Buddism and Hinduism: Contrast with the West’ Journal for the Theory of Social Behaviour 25 (2): 115.
ID4D Annual Report. 2020. https://documents1.worldbank.org/curated/en/625371611951876490/pdf/Identification-for-Development-ID4D-2020-Annual-Report.pdf. Last accessed on 16 Nov 2021
Introna, L., and H. Nissenbaum. 2010. Facial Recognition Technology: A Survey of Policy and Implementation Issues, 4. New York University.
Jain, A.K., et al. 2011. Introduction to Biometrics. New York: Springer.
Jenkins, R. 1997. Rethinking Ethnicity: Arguments and Explorations. London: SAGE.
Johns, F., and M. Fourcade. 2020. Loops, Ladders and Links: The Recursivity of Social and Machine Learning. Theory and Society 49: 803–832.
Johnson, F. 1985. The Western Concept of Self. In Culture and self: Asian and Western Perspectives, ed. A.J. Marsella, G. Devos, and F.L.K. Hsu, 91. New York: Tavistock.
Kamwangamalu, M.N. 1999. Ubuntu in South Africa: A Sociolinguistic Perspective to a pan-American Concept. Critical Arts: South-North Cultural and Media Studies 2: 24.
Karenga, M. 1999. Sources of Self in Ancient Egyptian Autobiographies: A Kawaida Articulation. In Black American Intellectualism and Culture: A Social Study of African American Social and Political Thought, ed. J.L. Conyers, 37. Stanford.
Klare, B., et al. 2012. Face Recognition Performance: Role of Demographic Information. IEEE Transactions on Information Forensics and Security 7 (6): 1789–1801.
Kloppenburg, S., and I. Van der Ploeg. 2018. Securing Identities: Biometrics Technologies and the Enactment of Human Bodily Differences. Science as Culture 29 (1): 57–76.
Krupiy T. 2021a. Understanding Digital Discrimination: Analysing Marshall McLuhan’s Work Through a Human Rights Lens, 1 April 2021, https://newexplorations.net/understanding-digital-discrimination-analysing-marshall-mcluhans-work-through-a-human-rights-lens-2/. Last accessed on 17 Dec 2021.
———. 2021b. Why the Proposed Artificial Intelligence Regulation Does Not Deliver on the Promise to Protect Individuals from Harm, 23 July 2021. https://europeanlawblog.eu/2021/07/23/why-the-proposed-artificial-intelligence-regulation-does-not-deliver-on-the-promise-to-protect-individuals-from-harm/. Last accessed 17 Dec 2021
La Fontaine, J.S. 1985. Person and Individual: Some Anthropological Reflections. In Culture and Self: Asian and Western Perspectives, ed. A.J. Marsella, G. De Vos, and F.L.K. Hsu, 189. New York: Tavistock.
Laclau, E. 1990. New Reflections on the Revolution of Our Time, 90. London: Verso.
Leacock, S. 1954. The Ethnlogical Theory of Marcel Mauss. American Anthropologist New Series 56 (1): 58–73.
Magnet, S. 2011. When Biometrics Fail: Gender, Race and the Technology of Identity, 50. Durham: Duke University Press.
Maguire, M. 2012. Biopower, Racialization and New Security Technology. Social Identities: Journal for the Study of Race Nation and Culture 18 (5): 593–607.
Molnar P., and L. Gill. 2018. Bots at the Gate. A Human Rights Analysis of Automated Decision-Making in Canada’s Immigration and Refugee System. https://tspace.library.utoronto.ca/bitstream/1807/94802/1/IHRP-Automated-Systems-Report-Web-V2.pdf. Last accessed on 9 Dec 2021
Mutanen, A. 2007. Deliberation – Action – Responsibility: Philosophical Aspects of Professions and Soldierships. In Ethical Education in the Military: What, How and Why in the 21st Century? ed. J. Toiskallio, 124–150. Helsinki: ACEI.
———. 2010. About the Notion of Identity. LIMES 3 (1): 28–38.
Niemann, Y.F. 2012. The Making of a Token: A Case Study of Stereotype Threat, Stigma, Racism and Tokenism in Academia. In Presumed Incompetent: The Intersections of Race and Class for Women in Academia, ed. G.G. Muhs et al., 336–355. Utah State University Press.
Philips, P.J., et al. 2011. An Other-Race Effect for Face Recognition Algorithms. ACM Transactions on Applied Perceptions 8 (2): 14.
Pugliese, J. 2010. Biometrics: Bodies, Technologies, Biopolitics, 57. New York: Routledge.
Redman, P. 2000. Introduction. In Identity: A reader, ed. P. Du Gay, J. Evans, and P. Redman, 9–14. London: SAGE.
Riley, P. 2003. Self Access as Access to Self: Cultural Variations in the Notions of Self and Personhood. In Learner Autonomy Across Cultures, ed. D. Palfreyman and R.C. Smith, 92–109. London: Palgrave Macmillan.
Root, B. 2018. US Immigration Officials Pulls Plug on High-Tech Extreme Vetting, 28 May 2018, https://www.hrw.org/news/2018/05/18/us-immigration-officials-pull-plug-high-tech-extreme-vetting. Last accessed on 10 Dec 2021.
Solomon, R.C. 1994. Recapturing Personal Identity. In Self as Body in the Asian Theory and Practice, ed. T.P. Kasulis, R.T. Aimes, and W. Dissanayake, 7. Albany: State University of New York Press.
Solon, O. 2018. Surveillance Society: Has Technology at the US-Mexico Border Gone Too Far?, 13 June 2018, The Guardian, https://www.theguardian.com/technology/2018/jun/13/mexico-us-border-wall-surveillance-artificial-intelligence-technology. Last accessed on 10 Dec 2021
Tangermann, J. 2017. Documenting and Establishing Identity in the Migration Process. Challenges and Practices in the German Context, 27 September 2017, https://www.bamf.de/SharedDocs/Anlagen/EN/EMN/Studien/wp76-emn-identitaetssicherung-feststellung.html?nn=282388. Last accessed on 23 Dec 2021
The Economist. 2020. Covid-19 Spurs National Plans to Give Citizens Digital Identities, 7 December 2020, https://www.economist.com/international/2020/12/07/covid-19-spurs-national-plans-to-give-citizens-digital-identities. Last accessed on 23 Dec 2021
Warren, S.D., and L.D. Brandeis. 1890. The Right to Privacy. Harvard Law Review 4: 193.
Westin, A.F. 1968. Privacy and freedom. Washington and Lee Law Review 25 (1): 166.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Forti, M. (2023). A Legal Identity for All Through Artificial Intelligence: Benefits and Drawbacks in Using AI Algorithms to Accomplish SDG 16.9. In: Mazzi, F., Floridi, L. (eds) The Ethics of Artificial Intelligence for the Sustainable Development Goals . Philosophical Studies Series, vol 152. Springer, Cham. https://doi.org/10.1007/978-3-031-21147-8_14
Download citation
DOI: https://doi.org/10.1007/978-3-031-21147-8_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-21146-1
Online ISBN: 978-3-031-21147-8
eBook Packages: Religion and PhilosophyPhilosophy and Religion (R0)