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Higher Standards for Hire: Algorithmic Bias in the Job Application Process

Despite the promise of objectivity in AI algorithms used in hiring, the technologies that are meant to prevent bias and increase diversity in the workforce are actually introducing more of it. In this research-based approach, Business Today writer Antonio Simental analyzes how this systematic issue stems from flawed datasets.

Spring 2020, Opinions, Print, TechnologyAntonio SimentalJanuary 19, 2021first, bias, hiring, candidate, technology, Artificial Intelligence, AI, algorith, diversity, human resources, employmennt, employment, career, internship, apply, gender, race, decision-making, data

Leveraging a Global Alumni Network through Schwarzman Scholars

At the 45th International Conference, Business Today had the pleasure of speaking with Frederico Menino, a Schwarzman Scholars admissions officer, and Sarah Mortell, a graduate of the program, on how interested candidates can apply and how the program has evolved since its creation.