Innovation/

Evan Tachovsky

Director & Lead Data Scientist, Innovation, The Rockefeller Foundation

Authored Content

  • Jul 14 2020
    Blog Post Announcing the Lacuna Fund: Closing Data Gaps to Enable Equitable Machine Learning Over a decade into the AI revolution bias remains a pernicious problem. From medical recommendation systems that allocate less care to Black people to human resource algorithms that are biased against women it can often feel like we’re trapped in a cycle of hype then harm. As scientists scramble to build machine learning tools to […] Chukwudi Onike, Evan Tachovsky, Madeline Lisaius
  • Jun 09 2020
    Blog Post Anticipating Humanitarian Crises in the Age of Covid-19 Before Covid-19 struck, nearly 168 million people worldwide needed humanitarian assistance to survive. The pandemic has increased the number of vulnerable people worldwide and has compounded risk for countries already experiencing food shortages, conflicts, and economic hardship. Predictive models can help us anticipate the trajectory of these compounding crises and speed response. To accelerate predictive […] Evan Tachovsky, Megan Linquiti
  • Dec 03 2019
    Blog Post Taking a Human Rights Approach to AI Governance In response to concern about the impact of AI on society companies and civil society organizations have raced to write ethical frameworks to guide the development and use of these powerful new tools. Researchers at ETH Zurich’s Health Ethics & Policy Lab found that over 80 distinct AI ethics frameworks have been proposed in just […]
  • Aug 26 2019
    Blog Post Meet Africa’s Inclusive AI Community Solving Global Problems This week more than 700 machine learning researchers from over 30 African countries will come together at Kenyatta University in Nairobi, Kenya for the third annual Deep Learning Indaba. On paper it looks a lot like other artificial intelligence (AI) convenings around the world. There are keynotes from luminaries, talks from up-and-coming researchers, and trainings […]
Back to Top