Good systems, bad data?: Interpretations of AI hype and failures. - Stephen C. Slota; Kenneth R. Fleischmann; Sherri R. Greenberg; Nitin Verma; Brenna Cummings; Lan Li 003; Chris Shenefiel (ASIST, 2020)

Something New Versus Tried and True: Ensuring 'Innovative' AI is 'Good' AI. - Stephen C. Slota; Kenneth R. Fleischmann; Sherri R. Greenberg; Nitin Verma; Brenna Cummings; Lan Li 003; Chris Shenefiel (iConference (1), 2021)

Locating the work of artificial intelligence ethics. - Stephen C. Slota; Kenneth R. Fleischmann; Sherri R. Greenberg; Nitin Verma; Brenna Cummings; Lan Li 003; Chris Shenefiel (J. Assoc. Inf. Sci. Technol., 2023)

Many hands make many fingers to point: challenges in creating accountable AI. - Stephen C. Slota; Kenneth R. Fleischmann; Sherri R. Greenberg; Nitin Verma; Brenna Cummings; Lan Li 003; Chris Shenefiel (AI Soc., 2023)