ENABLING RESPONSIBLE TECHNOLOGY Trademark
Serial Number: 90078908
Trademark Classes
Owner Contact Info
Legal Representation
Correspondence Address
Jessica Connarn Sinorica LLC dba Thoughts to Paper
20251 Century Blvd Ste 140
Germantown, MD 20874
United States
Trademark Details
Filing Date
July 28, 2020
Registration Date
Not Registered
Published for Opposition
May 28, 2024
Goods & Services
Downloadable cloud-based software for enabling and consulting for data science, artificial intelligence, machine learning, fairness, ethics, transparency, mitigation of bias, explainability, digital and technology responsibility; Downloadable cloud-based software for facilitating audit, oversight, governance, risk, and compliance; Downloadable cloud-computing software for enabling and consulting for data science, artificial intelligence, machine learning, fairness, ethics, transparency, mitigation of bias, explainability, digital and technology responsibility; Downloadable cloud-computing software for facilitating audit, oversight, governance, risk, and compliance; Downloadable computer application software for facilitating, enabling and consultation, namely, software for enabling and consulting for data science, artificial intelligence, machine learning, fairness, ethics, transparency, mitigation of bias, explainability, digital and technology responsibility; Downloadable computer application software for facilitating, enabling and consultation, namely, software for facilitating audit, oversight, governance, risk, and compliance; Downloadable computer software for facilitating audit, oversight, governance, risk, and compliance; Downloadable computer software for enabling and consulting for data science, artificial intelligence, machine learning, fairness, ethics, transparency, mitigation of bias, explainability, digital and technology responsibility; Downloadable mobile applications for facilitating audit, oversight, governance, risk, and compliance; Downloadable mobile applications for enabling and consulting for data science, artificial intelligence, machine learning, fairness, ethics, transparency, mitigation of bias, explainability, digital and technology responsibility
