I am interested in identifying and mitigating instances of bias and discriminatory behavior in machine learning algorithms in the wild – such as Facebook's ad delivery system.
Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging
Muhammad Ali*, Piotr Sapiezynski*, Aleksandra Korolova, Alan Mislove, Aaron Rieke
Discrimination through optimization: How Facebook's ad delivery can lead to skewed outcomes
Muhammad Ali*, Piotr Sapiezynski*, Miranda Bogen, Aleksandra Korolova, Alan Mislove, Aaron Rieke
Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW '19) Austin, TX, USA, November 2019.
Diversity and Inclusion Award, Honorable Mention
Measuring Bias in Facebook's Ad-Targeting Attributes
Master's thesis, Saarbrücken, Germany, August 2018.
Potential for Discrimination in Online Targeted Advertising
Till Speicher, Muhammad Ali, Giridhari Venkatadri, George Arvanitakis, Krishna P. Gummadi, Patrick Loiseau, and Alan Mislove
Proceedings of the 1st Conference on Fairness, Accountability, and Transparency (FAT*), New York City, New York, February 2018.
Best Paper Nominee
On Quantifying Knowledge Segregation in Society
Abhijnan Chakraborty, Muhammad Ali, Saptarshi Ghosh, Niloy Ganguly, and Krishna P. Gummadi
Proceedings of the FATREC Workshop on Responsible Recommendation (colocated with RecSys 2017), Como, Italy, August 2017.
Before coming to Boston, I got my master's degree in computer science at Saarland University, where I spent some time working in Krishna Gummadi's Networked Systems group at the Max Planck Institute for Software Systems. Back home in Lahore, Pakistan, I did my undergrad in computer science at FAST-NUCES.
My Twitter handle is the name of the neighborhood in Lahore where I grew up. The font for all headings on this homepage is inspired by Ed Ruscha – whose typography I love.