Digital Self-Determination


ˈdɪʤɪtᵊl ˌsɛlfdɪˌtɜːmɪˈneɪʃᵊn

Digital Self-Determination (DSD) refers to the principle and practice of empowering individuals and communities to exercise autonomy and control over their digital presence, particularly the data they generate. Rooted in the concepts of self-determination, dignity, and agency, DSD ensures that individuals can actively shape how their data is collected, stored, managed, and utilized, fostering both personal and societal benefits.

In an era marked by rapid datafication and technological advances, DSD aims to address critical imbalances such as data, information, and agency asymmetries. These imbalances often disproportionately affect vulnerable populations, limiting their ability to benefit from data-driven innovation while exposing them to potential exploitation.

Key Features:

  1. Agency and Autonomy: DSD focuses on granting individuals the capacity to make informed decisions about their data, aligning with their values, interests, and expectations.
  2. Collective Dimension: Beyond personal control, DSD acknowledges the collective impact of data, advocating for shared rights and protections within communities and societies.
  3. Context-Specific Implementation: Effective DSD practices are adaptable, considering diverse sociopolitical, technological, and cultural contexts to ensure equitable outcomes.

Applications:

  • Data Governance: Policies and frameworks that prioritize individual and collective agency in the digital ecosystem.
  • Technological Tools: Development of trusted data spaces and tools that enable ethical data sharing while protecting autonomy.
  • Education and Awareness: Training data stewards and promoting digital literacy to empower communities.

Digital Self-Determination has the potential to redefine how societies approach data ethics, governance, and innovation. By embedding DSD principles into digital frameworks, we can foster trust, fairness, and inclusivity in the digital age.

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The number of new additions we’ve made to the Open Data Policy Lab’s Observatory of Examples of How Open Data and Generative AI Intersect. This growing observatory highlights examples of how open data from official sources and generative artificial intelligence (AI) intersect across various domains and geographies.

Why it Matters:
Generative AI and open data are converging to unlock new possibilities in areas such as health, education, governance, and more. By showcasing these examples, the observatory serves as a valuable resource for understanding how these technologies are applied in innovative and impactful ways worldwide.