Introduction
Data trusts are emerging as pivotal mechanisms for facilitating data sharing aimed at social benefit. These structures empower individuals and communities to exercise their data rights, ensuring that data sharing aligns with the diverse interests of society and supports the UN Sustainable Development Goals.
Description
Data trusts are being established to facilitate data sharing for social benefit, empowering individuals and communities to exercise their data rights. These initiatives aim to ensure that data sharing reflects the diverse interests of society, ultimately promoting the safe, fair, legal, and equitable sharing of data in alignment with the UN Sustainable Development Goals.
Research and practice in data justice are advancing to address gaps in understanding data governance. This approach encourages policymakers and practitioners to move beyond a narrow focus on compliance and individual privacy, incorporating equity and justice considerations. The goal is to achieve more equitable access to data and fairer representation of marginalized individuals and communities in the development of AI and machine learning systems, advocating for the integration of just principles into AI policy and practice.
Conclusion
The establishment of data trusts and the advancement of data justice research have significant implications for data governance. By promoting equitable access and fair representation, these initiatives contribute to the development of AI and machine learning systems that are more inclusive and just. This alignment with global goals underscores the potential for data governance frameworks to drive positive societal change.
References
https://oecd.ai/en/wonk/documents/data-governance-working-group-report-3
