Make Alexa and Siri speak with each other: Toward a universal grammar in AI — O’Reilly Artificial Intelligence Conference in London 2019
Originally published at https://conferences.oreilly.com on July 15, 2019.
Date: 14:35–15:15, 16 Oct / Westminster Suite Suite
UNS.ai is a new kind of cocreation lab for deep tech innovations. Tobias Martens introduces the company’s first project, whoelse.ai-a universal grammar to make AIs talk to each other. It’s also a privacy-by-design standard for language processing in online services and the first intent-marketplace for affiliates.
Together with DIN e. V., the public agency for industry standards in Germany, UNS.ai is developing a standardized API norm for natural language processing (NLP) AIs. The goal of this DIN (later: ISO) standard is to make NLP systems interoperable and voice commands, as privacy-by-design encoded intents, dispatchable across different AI ecosystems. Bias is a huge challenge for interpreting human language in AI, and different NLPs recognize the same voice command each at least slightly differently. Similarly, every user speaks differently-human language is arbitrary. New ideas to efficiently compute human language in AI are needed. Just as how Hypertext had to be invented for text internet, now solutions are needed to make the content of human language linkable as voice internet. Tobias outlines UNS.ai’s findings in developing a publicly accredited standard for human language in AI and presents first results.
As part of the standardization process, the company currently organizes a multistakeholder working group together with partners from industry and academia. Insights from the standardization commission’s work provide a snapshot of current industry NLP R&D challenges and collaboration opportunities, an introduction to the implications of explainable language in AI for technology governance, and outline new approaches toward the standardization of human language from a social science point of view.
Get involved in the development of the standard and check out further information and background information.
- A Basic understanding of NLP systems
- General knowledge of AI terminology