Ethics in Artificial Intelligence

Mark Fedyk leading a workshop on ethics in artificial intelligence

This Ethics in Artificial Intelligence webpage came about as a result of the Research Data Ethics Maturity Model (README) Project. The README project leveraged the central position of the UC Davis Clinical and Translational Science Center as a university-wide resource supporting all forms of health science research. Specifically, the CTSC aids in data access, collection, curation, and application through informatics, clinical trial, and biostatistics services and trains investigators and scholars at multiple levels to effectively design health data analytics. README extended the core CTSC mission by engaging broad health data science-oriented research at UC Davis through the lens of ethical frameworks and design expertise. The project was tasked with developing both a local environmental understanding of the current paths to ethical data science research, identifying gaps and resources, and providing a generalizable maturity framework for similar translational science ecosystems.

  • Welcome to Resources

    This resource can be searched by keyword, filtered, and sorted by field(s).


    • Not seeing any results? Clear the prior keyword searches, filters and sorts and try again.
    • Allow up to 10 seconds for the page to load fully.
    • Scroll down to the bottom and select “View larger version” to see all records and fields in the table.

Our Team