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David Piorkowski

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Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations

Mar 09, 2024
Swapnaja Achintalwar, Adriana Alvarado Garcia, Ateret Anaby-Tavor, Ioana Baldini, Sara E. Berger, Bishwaranjan Bhattacharjee, Djallel Bouneffouf, Subhajit Chaudhury, Pin-Yu Chen, Lamogha Chiazor, Elizabeth M. Daly, Rogério Abreu de Paula, Pierre Dognin, Eitan Farchi, Soumya Ghosh, Michael Hind, Raya Horesh, George Kour, Ja Young Lee, Erik Miehling, Keerthiram Murugesan, Manish Nagireddy, Inkit Padhi, David Piorkowski, Ambrish Rawat, Orna Raz, Prasanna Sattigeri, Hendrik Strobelt, Sarathkrishna Swaminathan, Christoph Tillmann, Aashka Trivedi, Kush R. Varshney, Dennis Wei, Shalisha Witherspooon, Marcel Zalmanovici

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Quantitative AI Risk Assessments: Opportunities and Challenges

Sep 13, 2022
David Piorkowski, Michael Hind, John Richards

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Evaluating a Methodology for Increasing AI Transparency: A Case Study

Jan 24, 2022
David Piorkowski, John Richards, Michael Hind

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Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models

Jan 29, 2021
Soya Park, April Wang, Ban Kawas, Q. Vera Liao, David Piorkowski, Marina Danilevsky

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How AI Developers Overcome Communication Challenges in a Multidisciplinary Team: A Case Study

Jan 13, 2021
David Piorkowski, Soya Park, April Yi Wang, Dakuo Wang, Michael Muller, Felix Portnoy

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Towards evaluating and eliciting high-quality documentation for intelligent systems

Nov 17, 2020
David Piorkowski, Daniel González, John Richards, Stephanie Houde

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A Methodology for Creating AI FactSheets

Jun 28, 2020
John Richards, David Piorkowski, Michael Hind, Stephanie Houde, Aleksandra Mojsilović

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Detecting Egregious Conversations between Customers and Virtual Agents

Apr 16, 2018
Tommy Sandbank, Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, John Richards, David Piorkowski

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