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Difference between revisions of "OpenGENESIS WG"

(Founding member)
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openGENESIS drives and supports the investigations of a verifiable, understandable and not least certifiable AI. This includes activities of adopting functional safety approaches to symbolic and subsymbolic artificial intelligence as well as the development of new methods and metrics for a formal verification of neuronal networks. Approaches regarding a better understandability as well as reproducibility of the decisions of AI will take place. An open data set will be established and research should be enabled with direct access to practice and safety relevant challenges. Finally, also social concerns should be considered in aspects for a certification of learned algorithms.
 
openGENESIS drives and supports the investigations of a verifiable, understandable and not least certifiable AI. This includes activities of adopting functional safety approaches to symbolic and subsymbolic artificial intelligence as well as the development of new methods and metrics for a formal verification of neuronal networks. Approaches regarding a better understandability as well as reproducibility of the decisions of AI will take place. An open data set will be established and research should be enabled with direct access to practice and safety relevant challenges. Finally, also social concerns should be considered in aspects for a certification of learned algorithms.
  
== Founding member ==
+
== Founding members ==
 
* DFKI (German Research Center for Artificial Intelligence)
 
* DFKI (German Research Center for Artificial Intelligence)
 
* TÜV SÜD
 
* TÜV SÜD

Revision as of 12:14, 17 September 2018

Mission

The mission of openGENESIS is to provide knowledge, methods and tools for the assessment of artificial intelligence (AI) used for autonomous driving. Learning algorithms should be proved to be safe and roadworthy before deployed to public road. From today’s point of view, we are not able to completely understand and explain the detailed functionality of learned algorithms due to the high complexity. openGENESIS will supply public and regulation authorities with necessary approaches to deal with the challenges of approval and certification of AI. Providing a “TÜV for AI”. openGENESIS provides a collaboration platform for leveraging knowledge among members. The members cooperate with each other efficiently and provide the results in an open access domain. A strong global exchange between industry, research and regulators will be established. Arrive at a common understanding of quality aspects for artificial intelligence.

Scope

openGENESIS drives and supports the investigations of a verifiable, understandable and not least certifiable AI. This includes activities of adopting functional safety approaches to symbolic and subsymbolic artificial intelligence as well as the development of new methods and metrics for a formal verification of neuronal networks. Approaches regarding a better understandability as well as reproducibility of the decisions of AI will take place. An open data set will be established and research should be enabled with direct access to practice and safety relevant challenges. Finally, also social concerns should be considered in aspects for a certification of learned algorithms.

Founding members

  • DFKI (German Research Center for Artificial Intelligence)
  • TÜV SÜD

Current Status (13.09.2018)

The openGENESIS Charta is drafted and currently in internal review process. It will be published for joint review in September 2018.

Please contact ralph dot mueller at eclipse minus foundation dot org for more information.

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