Rethinking Personal Data: A New Lens for Strengthening Trust

The report identifies a crisis of trust in the personal data ecosystem caused by the rapid growth of ubiquitous computing and borderless data flows. It proposes moving from a 'user-centric' model, which places the burden of data management on individuals, to a 'user-centred' approach where risks are equitably distributed across the value chain. Key near-term priorities include establishing shared data taxonomies—distinguishing between individually provided, observed, and inferred data—and adopting risk-management frameworks to assess the severity and likelihood of harms. Long-term solutions focus on technological innovations like 'smart data' with embedded policies and the development of accountable algorithms to prevent the manipulation of individuals in 'proactive computing' environments.

• There is a fundamental crisis of trust in the personal data ecosystem because the growth of data and ubiquitous computing are outstripping global governance capabilities, leaving industry, government, and civil society uncertain on how to create a fair and reliable system.
• Current transparency practices are often overwhelming and focused on disclosure rather than engagement; meaningful transparency requires 'inbound' capacities that allow individuals to influence outcomes and a better understanding of how data flows through the 'back end' of the value chain.
• Accountability is hindered by structural limits in monitoring and enforcing discrete data uses, necessitating a shift from prescriptive interventions to adaptive, evidence-based frameworks that recognize context.
• Individual empowerment is undermined by power asymmetries and the rise of passively collected data, which makes traditional notice-and-consent models problematic.
• A new taxonomy of personal data is required to distinguish between three categories: individually provided data (volunteered), observed data (captured via recording activities), and inferred data (synthesized via analytics).
• The report advocates for a risk-based approach to privacy that prioritizes the seriousness and likelihood of harm from the perspective of the individual rather than focusing solely on regulatory compliance.
• Long-term trust requires 'smart data' infrastructure where usage policies are logically bound to the data via metadata, ensuring that permissions and provenance follow the data across trust boundaries.
• The rise of 'proactive computing' and algorithms creates risks of 'regulation-by-algorithm' and the potential for institutions to exploit 'predictable irrationality' to manipulate individuals at moments of vulnerability.
• Research indicates that the acceptability of data use is highly contextual, with 'collection method' generally having the largest impact on user sensitivity across most studied geographies.

APA

World Economic Forum (2014). Rethinking Personal Data: A New Lens for Strengthening Trust. http://www3.weforum.org/docs/WEF_RethinkingPersonalData_ANewLens_Report_2014.pdf

Chicago

World Economic Forum. Rethinking Personal Data: A New Lens for Strengthening Trust. 2014. http://www3.weforum.org/docs/WEF_RethinkingPersonalData_ANewLens_Report_2014.pdf.

Wikipedia

{{cite report |author=World Economic Forum |title=Rethinking Personal Data: A New Lens for Strengthening Trust |date=May 2014 |url=http://www3.weforum.org/docs/WEF_RethinkingPersonalData_ANewLens_Report_2014.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{worldeconomicforum2014rethinking, author = {{World Economic Forum}}, title = {{Rethinking Personal Data: A New Lens for Strengthening Trust}}, institution = {World Economic Forum}, year = {2014}, month = may, url = {http://www3.weforum.org/docs/WEF_RethinkingPersonalData_ANewLens_Report_2014.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }