Aleksandra Mojsilovic facts for kids

Quick facts for kids Aleksandra Mojsilovic
Mojsilovic in 2018
Born	Belgrade, Serbia
Education	University of Belgrade
Employer	IBM Research
Known for	Multidimensional signal processing, computer vision, AI for social good, AI ethics

Aleksandra (Saška) Mojsilović (born 1968) is a Serbian-American scientist. She studies artificial intelligence (AI), data science, and signal processing. AI is about making computers smart like humans. Data science is about understanding large amounts of information. Signal processing deals with things like sounds and images.

She is famous for using machine learning to solve real-world problems. Machine learning is when computers learn from data without being directly programmed. Her work helps with many different issues for people and businesses. She also focuses on making AI fair, honest, and easy to understand. She is a top expert at IBM Research and an IEEE Fellow.

Her Journey in Science

Aleksandra Mojsilović was born in Belgrade, Serbia. She earned her PhD in Electrical Engineering in 1997. This was from the University of Belgrade in Serbia.

Early Career Steps

From 1997 to 1998, she was a professor at the University of Belgrade. Then, from 1998 to 2000, she worked at Bell Laboratories. This is a famous research center in New Jersey.

Working at IBM and Google

She joined IBM Research in 2000 and worked there until 2023. At IBM, she led important projects. She also helped direct the "IBM Science for Social Good" program. This program uses science to help people. Currently, she works at Google as a senior director. There, she focuses on making AI responsible and ethical.

What She Researches

Mojsilović's research covers many exciting areas. These include artificial intelligence, machine learning, and data science. She uses her skills to solve problems in many fields.

AI for Real-World Problems

Her work has helped with computer vision, which teaches computers to "see." It has also improved multimedia and recommendation systems. She has even applied her research to medical tests and healthcare. Her work helps with business analysis and finding new medicines. She also worked on ways to respond to the COVID-19 pandemic.

Making AI Fair and Good

A big part of her research is making AI systems ethical and helpful. In 2015, she started the "IBM Science for Social Good" project. She created this with Kush Varshney. The goal was to use AI research to benefit humanity. She was one of the first scientists to say that AI models should be clear about how they work.

Tools for Responsible AI

At IBM Research, she helped create important tools. These tools make AI fair, explainable, and trustworthy. Some of her key contributions include:

• AI Fairness 360: This tool helps fix unfairness in machine learning models.
• AI Explainability 360: This tool helps people understand how AI models make decisions.
• AI FactSheets 360: This project aims to build trust in AI by making its development more transparent.

Awards and Special Honors

Aleksandra Mojsilović has received many awards for her important work.

• IEEE Young Author Best Paper Award (2001)
• European Conference on Computer Vision Best Paper Award (2002)
• Daniel H. Wagner Prize for Excellence in Advanced Analytics (2010)
• IBM Fellow (2014) - This is a very high honor at IBM.
• IEEE Fellow (2017)
• AI for Good Award (2019)
• Spotlights Outstanding Technologies for Public Good (2020)
• Named one of 100 Brilliant Women in AI Ethics (2020)
• Tech Spotlight (2021)

Her Life Outside Work

Mojsilović also has interesting hobbies. She created a food blog called "Three Little Halves." This blog combines her love for food, photography, and writing. It has even won awards. She was nominated for the James Beard Award. She also received the International Association of Culinary Professionals Award.

She is also on the Board of Directors for Neighborhood Trust Financial Partners. This group helps people with lower incomes learn about money. They help people become more financially secure.

She lives in New York City with her husband and daughter.