Advancements in Artificial Intelligence have tremendous potential to support advancements in Science and Medicine. However, there is a need to understand the implications and mitigating factors for overcoming ethical & other associated challenges arising from such advancements. Join Nabeel Gillani, former Rhode Scholar and a graduate student and researcher in the Lab for Social Machines at the MIT Media Lab, on February 26th at 3pm EST to learn about “filter bubbles” on social media, mitigating discrimination in machine learning and AI implications on the future workforce.
Nabeel is a graduate student and researcher in the Lab for Social Machines at the MIT Media Lab. His research combines data science, machine learning, and sociology to build tools that promote the positive use of artificial intelligence and social platforms for society. Previously, Nabeel was a Product Manager at Khan Academy, where he helped design and implement online technologies for students and educators around the world. He is also a co-founder of Coursolve.org, a digital experiential learning platform that helps lifelong learners from over 100 countries revamp their workplace-relevant skills by working with companies to solve real-world problems.
Nabeel graduated with a ScB in Applied Mathematics and Computer Science from Brown University, and Master’s degrees in Education and Machine Learning from the University of Oxford, where he was a Rhodes Scholar.
Register for the webinar Here!