Chery Manescu ((full))

About Cherry Manescu

Manescu Metric (2010)

| Contribution | Description | Impact | |--------------|-------------|--------| | | A statistical measure that combines conditional demographic parity with model confidence scores to quantify algorithmic bias across multiple protected groups. | Adopted by major tech firms (e.g., Microsoft , Google ) as part of internal fairness audits; cited in EU AI Act consultation documents (2022). | | Community‑Centred Data Collection Framework (CCDCF) | A set‑of‑guidelines and toolkits enabling community organizations to co‑design data pipelines, ensuring informed consent , cultural relevance , and data sovereignty . | Implemented in 12 NGOs across North America and Sub‑Saharan Africa; recognized by the World Economic Forum as a “Best Practice in Ethical Data.” | | Bias‑Aware Machine Learning (BAML) Pipeline (2021) | An open‑source Python library (available on GitHub , > 5 k stars) that automates bias detection, mitigation, and reporting for any scikit‑learn compatible model. | Widely used in academic courses, industry pilots, and by regulatory bodies for compliance checks. | | Public‑Facing Science Communication | Regular contributor to The Conversation , MIT Technology Review , and hosts the “Fair AI Talk” podcast (average 30 k downloads/episode). | Helps translate technical fairness concepts to policymakers and the general public; awarded the 2023 ACM Public Service Award . |