Aleksandra Mojsilović
Led Trustworthy Machine Intelligence at IBM Research; co-author of AI Fairness 360, AIX360 and FactSheets
Aleksandra (Saška) Mojsilović joined IBM in 2000, and an IBM Research profile from February 2023 described Mojsilović as head of Trustworthy Machine Intelligence and an IBM Fellow, named in 2014 for work that laid the foundation for IBM's data science business. Mojsilović is a co-author of the papers introducing AI Fairness 360, an open-source Apache-2.0 toolkit for detecting and mitigating bias in machine learning, and AI Explainability 360, as well as the FactSheets proposal for documenting AI services. IBM Research credits these tools to its Science for Social Good program, which Mojsilović launched with Kush Varshney.123564
Work
AI Fairness 360 (external site: github.com)Open-source code
Co-author of "AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias" (2018), which introduces the toolkit released under the Apache v2.0 license. IBM Research's 2023 profile says Mojsilović and team urged IBM in 2017 to develop bias-mitigation software, and the toolkit was released a year later; IBM Research's 2018 AI Fairness 360 announcement lists Saška Mojsilović among the AIF360 team members.3412
AI Explainability 360 and FactSheets (external site: arxiv.org)Published research
Co-author of "One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques" (2019), which introduces the open-source AI Explainability 360 toolkit, and of "FactSheets: Increasing Trust in AI Services through Supplier's Declarations of Conformity" (2018).56
Other documented roles
Roles the sources document but that are not confirmed as current.
- Head of Trustworthy Machine Intelligence and IBM Fellow (as described by IBM Research in February 2023), IBM Research1
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