Collaborating Authors


What an all-digital AI research conference looks like


Organizers of the International Conference on Learning Representations (ICLR) shared details about what will be one of the largest-ever all-digital AI research conferences. The weeklong, online-only affair will feature more than 650 machine learning works. ICLR will include live chat, live Zoom video calls for Q&As and research author meetings, and the ability to upvote questions or vote for speakers using Slido. ICLR was initially scheduled to take place next month in Addis Ababa, Ethiopia, but with a global pandemic underway and shelter in place orders asking one in five people worldwide to stay home, the conference will now take place entirely online. ICLR organizers told VentureBeat they're treating the cancellation as an opportunity to develop a model for remote conferences.

Rediet Abebe


Rediet Abebe uses algorithms and AI to improve access to opportunity for historically marginalized communities. When Abebe moved from her native Ethiopia to the United States to attend Harvard College, she was struck by how vital resources often fail to reach the most vulnerable people, even in the world's wealthiest nation. She now uses computational techniques to mitigate socioeconomic inequalities. While she was an intern at Microsoft, Abebe formulated an AI project that analyzes search queries to shed light on the unmet health information needs of people in Africa. Her study revealed such information as which demographic groups are likely to show interest in natural cures for HIV and which countries' residents are especially concerned about HIV/AIDS stigma and discrimination.