Aleksandra Mojsilovic - AI Profile

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Aleksandra (Saška) Mojsilović is a scientist, Head of AI Foundations at IBM Research, Co-Director of IBM Science for Social Good, and IBM Fellow. She is a Fellow of the IEEE and a member of the IBM Academy of Technology.
Saška is the author of over 100 publications and holds 16 patents. She received a number of awards for her work, including the IEEE Young Author Best Paper Award, European Conference on Computer Vision Best Paper Award, INFORMS Wagner Prize, IEEE SOLI Best paper Award, IBM Gerstner Award, IBM Market Intelligence Award and several IBM Outstanding Technical Achievement Awards. Saška also serves on the board of directors for Neighborhood Trust Financial Partners, which provides financial literacy and economic empowerment training to low-income individuals.

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Papers120 papers

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Trust and Transparency in Contact Tracing Applications

Stacy Hobson,Michael Hind,Aleksandra Mojsilovic,Kush R. Varshney

Cited by1Bibtex

A Methodology for Creating AI FactSheets

John Richards,David Piorkowski,Michael Hind,Stephanie Houde,Aleksandra Mojsilović

Bibtex

CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models

Vijil Chenthamarakshan,Payel Das,Samuel C. Hoffman,Hendrik Strobelt,Inkit Padhi,Kar Wai Lim,Benjamin Hoover,Matteo Manica,Jannis Born,Teodoro Laino,Aleksandra Mojsilovic

NIPS 2020, (2020)

Cited by7EIBibtex

AI explainability 360: hands-on tutorial

Vijay Arya,Rachel K. E. Bellamy,Pin-Yu Chen,Amit Dhurandhar,Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss,Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte

FAT*, pp.696, (2020)

Cited by1EIBibtex

Ai explainability 360: An extensible toolkit for understanding data and machine learning models

Vijay Arya, Rachel KE Bellamy, Pin-Yu Chen,Amit Dhurandhar, Michael Hind, Samuel C Hoffman, Stephanie Houde, Q Vera Liao, Ronny Luss,Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte

JOURNAL OF MACHINE LEARNING RESEARCH, no. 130 (2020): 1-6

Cited by1Bibtex

AI for Management: An Overview

Dario Gil, Stacy Hobson,Aleksandra Mojsilović, Ruchir Puri, John R Smith

The Future of Management in an AI World, pp.3-19, (2020)

Cited by2Bibtex

Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models

Chenthamarakshan Vijil,Das Payel,Padhi Inkit,Strobelt Hendrik,Lim Kar Wai, Hoover Ben, Hoffman Samuel C.,Mojsilovic Aleksandra

neural information processing systems, (2020)

Cited by18Bibtex

Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics

Das Payel, Sercu Tom, Wadhawan Kahini,Padhi Inkit, Gehrmann Sebastian,Cipcigan Flaviu,Chenthamarakshan Vijil,Strobelt Hendrik, Santos Cicero dos,Chen Pin-Yu,Yang Yi Yan, Tan Jeremy

Cited by4Bibtex

Experiences with Improving the Transparency of AI Models and Services

Hind Michael,Houde Stephanie, Martino Jacquelyn,Mojsilovic Aleksandra,Piorkowski David,Richards John,Varshney Kush R.

CHI '20: CHI Conference on Human Factors in Computing Systems Honolulu HI US..., pp.1-8, (2019)

Cited by2EIBibtex

Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning

Noel C. F. Codella, Michael Hind,Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar,Kush R. Varshney,Dennis Wei,Aleksandra Mojsilovic

CoRR, (2019)

Cited by2EIBibtex

Open Platforms for Artificial Intelligence for Social Good: Common Patterns as a Pathway to True Impact

Kush R. Varshney,Aleksandra Mojsilovic

arXiv: Computers and Society, (2019)

Cited by4EIBibtex

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

Arya Vijay,Bellamy Rachel K. E.,Chen Pin-Yu,Dhurandhar Amit,Hind Michael, Hoffman Samuel C.,Houde Stephanie,Liao Q. Vera,Luss Ronny,Mojsilović Aleksandra, Mourad Sami, Pedemonte Pablo

Cited by43Bibtex

How Data ScientistsWork Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question

Yaoli Mao,Dakuo Wang,Michael Muller,Kush R. Varshney,Ioana Baldini,Casey Dugan,Aleksandra Mojsilović

Proceedings of the ACM on Human-Computer Interaction, no. GROUP (2019): 237-23

Cited by6EIBibtex

AI Fairness 360: An Extensible Toolkit for Detecting and Mitigating Algorithmic Bias

Rachel K. E. Bellamy,Kuntal Dey,Michael Hind, Samuel C. Hoffman,Stephanie Houde,Kalapriya Kannan, Pranay Lohia,Jacquelyn Martino,Sameep Mehta,Aleksandra Mojsilovic,Seema Nagar,Karthikeyan Natesan Ramamurthy

IBM Journal of Research and Development, no. 4/5 (2019): 4:1-4:15

Cited by13EIWOSBibtex

Confronting data sparsity to identify potential sources of Zika virus spillover infection among primates

Barbara A Han, Subhabrata Majumdar,Flavio P Calmon,Benjamin S Glicksberg,Raya Horesh, Abhishek Kumar,Adam Perer, Elisa B von Marschall,Dennis Wei,Aleksandra Mojsilović,Kush R Varshney

Epidemics, (2019): 59-65

Cited by15WOSBibtex

Think Your Artificial Intelligence Software Is Fair? Think Again

Rachel K. E. Bellamy,Kuntal Dey,Michael Hind, Samuel C. Hoffman,Stephanie Houde,Kalapriya Kannan, Pranay Lohia,Sameep Mehta,Aleksandra Mojsilovic,Seema Nagar,Karthikeyan Natesan Ramamurthy,John T. Richards

IEEE Software, no. 4 (2019): 76-80

Cited by8EIWOSBibtex

FactSheets: Increasing Trust in AI Services through Supplier's Declarations of Conformity

Matthew Arnold,Rachel K. E. Bellamy,Michael Hind,Stephanie Houde,Sameep Mehta,Aleksandra Mojsilovic, Ravi Nair,Karthikeyan Natesan Ramamurthy, Alexandra Olteanu,David Piorkowski, Darrell Reimer,John Richards

IBM Journal of Research and Development, no. 4/5 (2019): 6:1-6:13

Cited by70EIWOSBibtex

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

Rachel K. E. Bellamy,Kuntal Dey, Michael Hind, Samuel C. Hoffman,Stephanie Houde,Kalapriya Kannan, Pranay Lohia,Jacquelyn Martino,Sameep Mehta,Aleksandra Mojsilovic,Seema Nagar,Karthikeyan Natesan Ramamurthy

arXiv: Artificial Intelligence, (2018)

Cited by158EIBibtex

Understanding Unequal Gender Classification Accuracy from Face Images

Vidya Muthukumar, Tejaswini Pedapati,Nalini Ratha,Prasanna Sattigeri,Chai-Wah Wu,Brian Kingsbury,Abhishek Kumar,Samuel Thomas,Aleksandra Mojsilovic,Kush R. Varshney

arXiv: Computer Vision and Pattern Recognition, (2018)

Cited by18EIBibtex

TED: Teaching AI to Explain its Decisions

Noel C. F. Codella,Michael Hind,Karthikeyan Natesan Ramamurthy,Murray Campbell,Amit Dhurandhar,Kush R. Varshney,Dennis Wei,Aleksandra Mojsilovic

arXiv: Artificial Intelligence, (2018)

Cited by26EIBibtex

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