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DSRM

○ Dead · Abandoned

U.S. federal trademark · Serial No. 98267074

Mark
DSRM
Status
Abandoned
Serial Number
98267074
Filing Date
November 13, 2023
Class(es)
Class 042

Owners

So.Ai, Inc.
03 · Miami, FL, US
So.Ai, Inc.
03 · Miami, FL, US

Goods & Services

Application service provider (ASP) featuring software using artificial intelligence for documentation of data science processes; Application service provider (ASP) featuring software using artificial intelligence for addressing legal and compliance risk related to artificial intelligence, machine learning, and emerging technology; Application service provider (ASP) featuring software using artificial intelligence for addressing fairness, ethics, bias accountability, transparency, explainability, and responsibility at each step of the data science process; Development of voluntary standards for data science processes, evaluation of fairness, ethics, bias accountability, transparency, explainability, and responsibility of data science processes; Internet-based service for the secure electronic storage of multi-lingual documents featuring an ability to track and report all user interactions with the service; Providing a website featuring non-downloadable software using artificial intelligence for documentation of data science processes; Providing a website featuring nondownloadable software using artificial intelligence for addressing legal and compliance risk related to artificial intelligence, machine learning, and emerging technology; addressing fairness, ethics, bias accountability, transparency, explainability, and responsibility at each step of the data science process; Providing temporary use of a non-downloadable web application for documentation of data science processes; Providing temporary use of a non-downloadable web application for addressing legal and compliance risk related to artificial intelligence, machine learning, and emerging technology; Providing temporary use of a non-downloadable web application for addressing fairness, ethics, bias accountability, transparency, explainability, and responsibility at each step of the data science process; Providing temporary use of non-downloadable computer software for tracking documents over computer networks, intranets and the internet; Providing temporary use of on-line nondownloadable cloud computing software using artificial intelligence for documentation of data science processes; Providing temporary use of on-line non-downloadable cloud computing software using artificial intelligence for addressing legal and compliance risk related to artificial intelligence, machine learning, and emerging technology; Providing temporary use of on-line non-downloadable cloud computing software using artificial intelligence for addressing fairness, ethics, bias accountability, transparency, explainability, and responsibility at each step of the data science process; Providing temporary use of on-line non-downloadable software and applications using artificial intelligence for documentation of data science processes; Providing temporary use of on-line nondownloadable software and applications using artificial intelligence for addressing legal and compliance risk related to artificial intelligence, machine learning, and emerging technology; Providing temporary use of on-line non-downloadable software and applications using artificial intelligence for addressing fairness, ethics, bias accountability, transparency, explainability, and responsibility at each step of the data science process; Testing, analysis and evaluation of the goods and services of others to determine conformity with certification standards; Testing, analysis, and evaluation of the goods of others to assure compliance with industry standards; Testing, analysis, and evaluation of the knowledge, skills and abilities of others in the field of data science processes, evaluation of fairness, ethics, bias accountability, transparency, explainability, and responsibility of data science processes to determine conformity with certification standards; Testing, analysis, and evaluation of data science processes, evaluation of fairness, ethics, bias accountability, transparency, explainability and responsibility of data science processes to determine conformity with certification standards; Testing, analysis, and evaluation of data science processes to assure compliance with industry standards

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Source: USPTO federal trademark records. Informational only, not legal advice. Status and details may lag the live USPTO database.