Open Ethics Transparency Protocol .
The Open Ethics Transparency Protocol (OETP) describes the creation and exchange of voluntary ethics Disclosures for IT products. It is brought as a solution to increase the transparency of how IT products are built and deployed. The scope of the Protocol covers Disclosures for systems such as Software as a Service (SaaS) Applications, Software Applications, Software Components, Application Programming Interfaces (API), Automated Decision-Making (ADM) systems, and systems using Artificial Intelligence (AI). The IETF I-D document provides details on how disclosures for data collection and data processing practice are formed, stored, validated, and exchanged in a standardized and open format.
OETP provides facilities for:
- Informed consumer choices : End-users able to make informed choices based on their own ethical preferences and product disclosure.
- Industrial-scale monitoring : Discovery of best and worst practices within market verticals, technology stacks, and product value offerings.
- Legally-agnostic guidelines : Suggestions for developers and product-owners, formulated in factual language, which are legally-agnostic and could be easily transformed into product requirements and safeguards.
- Iterative improvement : Digital products, specifically, the ones powered by artificial intelligence could receive nearly real-time feedback on how their performance and ethical posture could be improved to cover security, privacy, diversity, fairness, power balance, non-discrimination, and other requirements.
- Labeling and certification : Mapping to existing and future regulatory initiatives and standards.
Please feel free to join the discussion here and in the GitHub repository
IETF datatracker link: https://datatracker.ietf.org/doc/draft-lukianets-open-ethics-transparency-protocol/
Nikita,
quite interesting. I have been active in IETF for years.
Could we extend the protocol also to ML models?
Andrea
Hi Andrea, thank you, this is primary targeting the ML-powered models for which we're the data passport to be used and exchanged. The reason why the ML models are chosen as a key use-case because they have the highest risks in the supply chain failures.
Here's the extensible disclosure process we've built https://openethics.ai/label/
In reply to Nikita, quite interesting… by Andrea Basso
The Open Ethics Transparency Protocol (OETP) will have limited effectiveness until automated decision making (ADM) and artificial intelligence (AI) systems become truly transparent
Until automated decision making (ADM) and artificial intelligence (AI) systems become truly transparent, the Open Ethics Transparency Protocol (OETP) will have limited effectiveness. The problem of AI transparency has deep roots in modern science. Mathematical black-box models that hide the structure and behavior of subsystems currently dominate. The mechanisms being studied remain hidden. Errors and paradoxes often arise from subjective interpretations of these hidden mechanisms. To address these problems, we have developed transparent mathematical models of the white box type. We believe that it is possible to construct transparent mathematical white-box models using logical deterministic cellular automata, where the rules used to construct these models are based on the general theory of the relevant domain. A shift to transparency in the mathematical modeling paradigm has the potential to revolutionize scientific research and advance knowledge and technology in a wide variety of domains. We hope you find our Manifesto useful: https://www.academia.edu/articles/10.20935/AcadBiol6166
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