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This post by Gary Doernhoefer proposes the development of a data set for the dispute resolution profession as the basis for AI systems. The ideal model would be for a collaboration in the dispute resolution field to create the refined data set, establish guardrails, and set privacy parameters for the use of the data. This would involve a centralized advisory board to address concerns such as (1) privacy requirements for how the queries are received, stored, and used, (2) the expertise needed to curate additional training materials, (3) shared costs of development, and (4) gaining the cooperation of industry authors whose materials might be included in the training data set. He gives the example of AI applications helping neutrals by generating lists of likely issues to be addressed, potential questions a neutral might ask, or potential proposals to consider.