This is a ReframeWork series event brought to you by NYU SPS in partnership with a variety of experts who will help you build a new skill, change your mind about ways of working, or push your thinking about the evolution of work in the modern workplace necessary.

In this session, join NYU SPS Instructor and TapRecruit Research Scientist, Maryam Jahanshahi, helps us understand the role of big data algorithms in recruiting.

Every day, we encounter hundreds of algorithms that predict our preferences, viewpoints and behaviors. In a world where computing power and data are both cheap and plentiful, predictive algorithms have the ability to automate significant tranches of decision-making.

The scale of these decisions is without parallel. Nowhere is the harm more obvious than in the field of HR. From targeted job recommendations on social networks to algorithmic "matching" of candidates, algorithms have the ability to severely restrict career opportunities and further harm historically marginalized communities.

How do we build and use algorithmic tools responsibly in HR?

In this talk, Maryam introduces the idea of the “bias stack” and how it applies to both data and algorithms. Using real examples of recruiting studies, she highlights key considerations for HR-based algorithms.

If you’re interested to learn about, or have a topic you would like to share with this community please drop an email to: info@reframe.work

Let’s reframe how we work!