Unsteady Surface Pressure Characterization on Launch Vehicle in Liftoff Configuration von Mears, Lee J., Nikoueeyan, Pourya, Hind, Michael D., Strike, John, Perry, Marvin, Wimpenny, Benjamin, Naughton, Jonathan W.

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AI Fairness von Michael Hind, Trisha Mahoney, Kush R. Varshney

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Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images von Codella, Noel C. F., Lin, Chung-Ching, Halpern, Allan, Hind, Michael, Feris, Rogerio, Smith, John R.

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Interprocedural pointer alias analysis von HIND, MICHAEL, BURKE, MICHAEL, CARINI, PAUL, CHOI, JONG-DEOK

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Think Your Artificial Intelligence Software Is Fair? Think Again von Bellamy, Rachel K.E., Dey, Kuntal, Hind, Michael, Hoffman, Samuel C., Houde, Stephanie, Kannan, Kalapriya, Lohia, Pranay, Mehta, Sameep, Mojsilovic, Aleksandra, Nagar, Seema, Ramamurthy, Karthikeyan Natesan, Richards, John, Saha, Diptikalyan, Sattigeri, Prasanna, Singh, Moninder, Varshney, Kush R., Zhang, Yunfeng

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Disparate Impact Diminishes Consumer Trust Even for Advantaged Users von Draws, Tim, Szlávik, Zoltán, Timmermans, Benjamin, Tintarev, Nava, Varshney, Kush R., Hind, Michael

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Evaluation of a film-based wall shear stress measurement technique in a turbulent channel flow von Amili, Omid, Hind, Michael D., Naughton, Jonathan W., Soria, Julio

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A Survey of Adaptive Optimization in Virtual Machines von Arnold, M., Fink, S.J., Grove, D., Hind, M., Sweeney, P.F.

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The Truth, The Whole Truth, and Nothing But the Truth: A Pragmatic Guide to Assessing Empirical Evaluations von Blackburn, Stephen M., Diwan, Amer, Hauswirth, Matthias, Sweeney, Peter F., Amaral, José Nelson, Brecht, Tim, Bulej, Lubomír, Click, Cliff, Eeckhout, Lieven, Fischmeister, Sebastian, Frampton, Daniel, Hendren, Laurie J., Hind, Michael, Hosking, Antony L., Jones, Richard E., Kalibera, Tomas, Keynes, Nathan, Nystrom, Nathaniel, Zeller, Andreas

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Explaining explainable AI von Hind, Michael

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SIGPLAN research highlights annual report von Hind, Michael

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CACM research highlights annual report von Hind, Michael

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Fast online pointer analysis von HIRZEL, Martin, VON DINCKLAGE, Daniel, DIWAN, Amer, HIND, Michael

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BenchmarkCards: Large Language Model and Risk Reporting von Sokol, Anna, Moniz, Nuno, Daly, Elizabeth, Hind, Michael, Chawla, Nitesh

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Quantitative AI Risk Assessments: Opportunities and Challenges von Piorkowski, David, Hind, Michael, Richards, John

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Evaluating a Methodology for Increasing AI Transparency: A Case Study von Piorkowski, David, Richards, John, Hind, Michael

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Pointer analysis in the presence of dynamic class loading von HIRZEL, Martin, DIWAN, Amer, HIND, Michael

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Quantitative AI Risk Assessments: Opportunities and Challenges von Piorkowski, David, Hind, Michael, Richards, John

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Evaluating the effectiveness of pointer alias analyses von Hind, Michael, Pioli, Anthony

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Evaluating a Methodology for Increasing AI Transparency: A Case Study von Piorkowski, David, Richards, John, Hind, Michael

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