Artificial Intelligence and Data visitation open a myriad of ethical and legal issues. The EOSC-Future / RDA Artificial Intelligence & Data Visitation (AIDV-WG) brings together expertise across disciplines and regions. The working group builds out ethical, legal, and social guidance to support good governance through an expert cross-disciplinary network of expertise in AI, data science, and data stewardship. The AIDV WG focuses on the ethical, legal, and social questions and challenges that surround these technologies. These challenges include those of access, privacy, confidentiality, consent, accountability, transparency, accuracy, integrity, and explainability. There is a special interest to include AI designers and developers. To embrace diverse perspectives, expert input is sought across industry and geographical regions.
This talk introduces DataConnect attendees to the EOSC-Future/ RDA AIDV working group and seeks conference participants input through live interactive audience challenge response related to:
1. Developing an understanding of the ethical and legal challenges AI and DV in Open Science across user groups.
2. Contributing to clarity in, and the development of, the ethics and legal frameworks to facilitate user engagement in Open Science.
3. Providing global perspectives for engaging ethics, law, and social considerations in AI, data sharing, DV, and Open Science policy development.
4. Seeking practitioners guidance as input in ethics committees best practices when reviewing AI and DV 5. Developing responses to various AI Bill of Rights being enacted today
Natalie Meyers is Professor of the Practice at the Lucy Family Institute for Data & Society at the University of Notre Dame. Meyers's research focuses on FAIR data management, software preservation and sharing for model-driven research. Meyers is an affiliated member of the GOFAIR.us Support and Coordination Office team hosted by the San Diego Supercomputer Center (SDSC). She serves as team co-lead for the European Open Science Cloud/Research Data Alliance Artificial Intelligence and Data visitation working group’s AI Bill of Rights effort. Prior to joining Notre Dame, she was co-owner of Content Innovations, LLC a California certified woman-owned small business in San Francisco and before that worked as an programmer analyst and GIS specialist at UC Berkeley where she also received her Masters in Library and Information Systems (MLIS) with a concentration in Systems Analysis and Database Design. She also holds an MA in English from University of Wisconsin, Milwaukee.
Natalie Meyers is Professor of the Practice at the Lucy Family Institute for Data & Society at the University of Notre Dame. Meyers's research focuses on FAIR data management, software preservation and sharing for model-driven research. Meyers is an affiliated member of the GOFAIR.us Support and Coordination Office team hosted by the San Diego Supercomputer Center (SDSC). She serves as team co-lead for the European Open Science Cloud/Research Data Alliance Artificial Intelligence and Data visitation working group’s AI Bill of Rights effort. Prior to joining Notre Dame, she was co-owner of Content Innovations, LLC a California certified woman-owned small business in San Francisco and before that worked as an programmer analyst and GIS specialist at UC Berkeley where she also received her Masters in Library and Information Systems (MLIS) with a concentration in Systems Analysis and Database Design. She also holds an MA in English from University of Wisconsin, Milwaukee.