Data Labeling and OETP .
Disclosure of Data Labeling plays a key role in transparency of the models trained by subject-matter experts, or for a crowdsourced data labeling approaches.
Bring transparency to the systemic properties of the AI models by developing an Open Ethics Data “Passport” (https://openethics.ai/oedp/). The Data Passport has a purpose at depicting the origins of the training datasets by bringing a standardized approach to convey information about data annotation processes, data labelers profiles, and correct scoping of the labeler’s job. Data Passport is integral part of the Disclosures and will be accessible along with other information about autonomous systems.
"Big Tech" is an important driver of innovation, however, the consequent concentration of power creates Big Risks for the economy, ethical use of technology, and basic human rights (we consider privacy as one of them).
A decentralization of SBOM (Software Bill of Materials) and data processing disclosures was earlier described as a key requirement for the Open Ethics Transparency Protocol, OETP.
Fulfillment of this requirement allows disclosure formation and validation by multiple parties and avoids harmful concentration of power. To allow efficient decentralization and access to the disclosures of autonomous systems, such as AI systems powered by trained machine learning models, the vendor (or a developer) MUST send requests to a Disclosure Identity Provider, which in turn, processes structured data of the disclosure with a cryptographic signature generator, and then stores the integrity hash with the persistent storage, for example using Federated Identity Provider. This process was described in the Open Ethics Transparency Protocol I-D document, however, the exact way how to access disclosures was not described there. The specification for the RI scheme described here closes this gap.
My recent work builds on top of our previous contribution to IETF and targets to simplify the access to AI disclosures, and more generally to disclosures of autonomous systems.