A logical step in the evolution of human rights and their defense in a digitalized world with massive and ever-growing amounts of digital data available for different uses. The digital data can be analyzed by different innovative methods and tools in which patterns are eventually visualized. The patterns allow us to track human right violations and predict future possible behaviors with the end of alerting the worsening of a specific situation. Whereas an armed conflict, a change in the persecution tendencies for human rights defenders or an increase application of torture, cruel treatment, or violation of the right to life to detainees, changes in patterns of violence against women, epidemics, famine or mass displacement of people.
Challenges in the prevention of human rights violations: The international system established after World War 2 which promotes and protects human rights globally, faces new challenges. Our vision stands with how emerging technologies such as Big Data, Artificial Intelligence, Internet of things and Blockchain, will as well, besides protect and promote, enable us to prevent future violations around the world.
The emphasis in Prevention: It is fundamental to reinforce the preventive mechanisms that are applicable in situations of major crises: in those where human rights are violated massively; in which the internal mechanisms of access to justice do not provide adequate and timely responses to human rights violations in armed conflicts and especially, in the contexts of continuous or long-term crises, in which there is a large volume of data, which can provide accurate and real-time results.
In the digitalized world, where big data, artificial intelligence, and machine learning are used as tools in the administration of health services, as well as in the administration of humanitarian aid in contexts of conflict, natural disasters and food crises or epidemics It is essential to develop systems with a human rights approach to strengthen the prevention of threats against people’s rights.
Integral Vision of human Rights: The vision of integrality, interdependence and indivisibility that guides this system, is summarized in the preamble of the Universal Declaration of human rights.
SOURCES AND TRIANGULATION OF INFORMATION
Starting from the situation of Violation and violation of rights: The system develops a basic diagnosis based on the official figures of the national statistical institutes of the states, reports made by international human rights protection agencies (UN, WHO, FAO, European Union, UNDP, ECLAC, etc.), of the documents contained in the universal periodic review of each State, national human rights reports of non-governmental organizations, reports of international human rights organizations, testimonies of experts, human rights activists and defenders, data obtained through the media, and data obtained through “data philanthropy”, which is a form of association in which private sector companies share data for public benefit.
Thus, a large number of the data which has the greatest potential to be used for the public good is collected by the private sector. For this reason, it is likely that partnerships between the public and private sectors will become more widespread. The challenge will ensure that they are sustainable over time and that well-defined frameworks are applied to clarify the roles and expectations of all stakeholders.
The triangulation of information is a process in which the data obtained through the analysis of concepts, in each of its dimensions, as well as the situation of the right affected by the composite indicators are verified. In this way 3 stages are performed:
- Diagnosis of the situation of human rights in each State, based on the analysis of content carried out in each dimension and in each latent variable.
- Quantitative analysis of statistical information emanating from official bodies and contrasted with independent reports from civil society organizations and local experts.
- Data normalization and translation of alerts to the coded language for processing by the algorithm.