Peter Fontana

Publications

Jim, Our Mentor: Inspiring Our Data-driven Sensitivity Analysis for Real-world Problems and Our Lives

July 20, 2023

Author(s)

Yooyoung Lee, Peter Fontana

Jim Filliben has inspired many scientists in a variety of domains across the National Institute of Standard and Technology (NIST) with his statistical data

The Language of Trustworthy AI: An In-Depth Glossary of Terms

March 29, 2023

Author(s)

Daniel Atherton, Reva Schwartz, Peter Fontana, Patrick Hall

The NIST (National Institute of Standards and Technology) glossary of terms related to trustworthy and responsible artificial intelligence (AI) and machine

NIST Explainable AI Workshop Summary

August 25, 2022

Author(s)

P. Jonathon Phillips, Carina Hahn, Peter Fontana, Amy Yates, Matthew Smith

This report represents a summary of the National Institute of Standards and Technology (NIST) Explainable Artificial Intelligence (AI) Workshop, which NIST held

Open Media Forensics Challenge (OpenMFC) 2020-2021: Past, Present, and Future

September 29, 2021

Author(s)

Haiying Guan, Yooyoung Lee, Lukas Diduch, Jesse Zhang, Ilia Ghorbanian Bajgiran, Timothee Kheyrkhah, Peter Fontana, Jonathan G. Fiscus

This document describes the online leaderboard public evaluation program, Open Media Forensics Challenge (OpenMFC) 2021-2022. In the report, first, the

Four Principles of Explainable Artificial Intelligence

September 29, 2021

Author(s)

P. Jonathon Phillips, Carina Hahn, Peter Fontana, Amy Yates, Kristen K. Greene, David A. Broniatowski, Mark A. Przybocki

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Peter Fontana (Fed)

Computer Scientist

Publications

Jim, Our Mentor: Inspiring Our Data-driven Sensitivity Analysis for Real-world Problems and Our Lives

The Language of Trustworthy AI: An In-Depth Glossary of Terms

NIST Explainable AI Workshop Summary

Open Media Forensics Challenge (OpenMFC) 2020-2021: Past, Present, and Future

Four Principles of Explainable Artificial Intelligence