A/HRC/43/29
importance of fully considering relevant rules concerning the legality, legitimacy, necessity
and proportionality of restrictions on human rights. The following sections highlight
examples in the application of these key principles.
A.
Reinforcing equality and non-discrimination in new technologies
Bridging the digital divide
42. The need to bridge the digital divide, which hampers access to technologies and its
benefits, is recognized in the 2030 Agenda (General Assembly resolution 70/1, para. 15)
and in several resolutions of the Human Rights Council. In its resolution 38/7, for example,
the Human Rights Council called upon all States to bridge the digital divides, including the
gender digital divide, and to enhance the use of information and communications
technology, in order to promote the full enjoyment of human rights for all.
43. Assessing and addressing the digital divide requires attention not only to physical
access to technologies and devices, but also to the different types of technology, the quality
of access and the distributional equity of access. For example, while developing countries
are gaining cheaper access to mobile technologies and the use of mobile phones has spread
rapidly in most parts of the world, technology gaps are widening with regard to more
advanced areas of technology, such as bandwidth availability. 24 The gender digital divide
also persists, reflecting existing patterns of gender inequality and discrimination.
Disaggregated data is needed to analyse and monitor the differentiated impacts of
technologies in order to ensure equality and non-discrimination.
Addressing bias in algorithms
44. While many dimensions of economic, social and cultural rights are to be realized
progressively, States have an immediate obligation to ensure equality and nondiscrimination in law and practice. There is an urgent need to address the causes and impact
of unintended bias and discrimination resulting from certain algorithmic and automated
decision-making based on artificial intelligence and other technologies. Many algorithms
tend to reinforce existing biases and prejudices, thereby exacerbating discrimination and
social exclusion. Data-driven tools often encode human prejudice and biases, with a
disproportionate impact on women and minority and vulnerable groups that are the subjects
of those prejudices and biases.25
B.
Legality, legitimacy, necessity and proportionality
45. Unless carefully regulated, the use of new technologies, in particular digital
technologies, can easily lead to inappropriate restrictions on human rights. For example, big
data and artificial intelligence, as well as digital identity systems, frequently depend on the
collection and processing of data, often including massive amounts of personal data. This
may amount to violations and abuses of the right to privacy when undertaken without the
informed free consent of affected persons. Other rights often affected by the deployment of
new technologies relating to economic, social and cultural rights include the right to
freedom of opinion and expression, the rights to freedom of association and of peaceful
assembly, and the right to an effective remedy. Restrictions on these and other rights must
conform to the principles of legality, legitimacy, necessity and proportionality. 26
Limitations on a right, where permissible, must be necessary for reaching a legitimate aim
24
25
26
10
Human Development Report 2019 – Beyond Income, Beyond Averages, Beyond Today: Inequalities in
Human Development in the 21st Century (United Nations publication, Sales No. E.20.III.B.1), p. 201.
High-level Panel on Digital Cooperation, “The age of digital interdependence”, pp. 17–18; World
Economic Forum, Global Future Council on Human Rights, “How to prevent discriminatory
outcomes in machine learning”, white paper, March 2018.
The Special Rapporteur on extreme poverty and human rights has pointed out that too many digital
welfare state initiatives are characterized by a lack of attention to the importance of ensuring legality
(A/74/493, para. 42).
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