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Category: Process

Legibility

The extent to which the processes and decisions are accessible, understandable, and verifiable.

To what extent is information (a) accessible, (b) understandable, (c) verifiable about the:

  1. Processes/ systems used to make decisions?
  2. The execution of these processes?
  3. Decisions being made?
  4. Reasons and inputs feeding into decisions?

Related Capabilities

Ensure transparency

Legibility
Ability for the process to be open to the public (where possible given privacy considerations).
Resources (1) Research Questions (4) Product Gaps (0)

Make verifiable

Legibility
Ability for integrity of the process to be verified and audited.
Resources (0) Research Questions (1) Product Gaps (2)

Related Product gaps

AI Assurance Infra (Bias, Accuracy, etc.)

Urgent AI/ML
Impact Scale
Infrastructure for providing guarantees around bias and accuracy, control over training data usage, comprehensive logging/evaluation, and offline operation capabilities for any integrated AI system.
Related Capabilities
Maximize neutrality Make verifiable

Sortition Proof Layer

Impact Scale
A cryptographically verifiable layer that wraps around existing sortition systems, to generate publicly auditable proofs that participant selection was both random and representative, without revealing participant identities. Works as middleware between participant databases and any selection algorithm.
Related Capabilities
Make verifiable