Join Kalev Leetaru (Founder of the GDELT Project and Media Fellow at RealClear Media Group), Mallika Iyer (Google Head of Product | Ethical AI Advocate), and Samuel Marks (Research Fellow at Harvard Medical School and Director of Software Development at Offscale.io) on [Between] the Brackets for a discussion on Fairness & Ethics In AI: Perspectives From Journalism, Medicine and Translation.
Between the Brackets is a video podcast-style show bringing together Experts and Googlers to discuss Google tech, community requested developer topics, and answer your questions!
Google Developer Expert
Head of Product | Ethical AI Advocate
Research Fellow at Harvard Medical School, MEEI. Director of Software Development at Offscale.io.
Dr. Kalev Hannes Leetaru - One of Foreign Policy Magazine's Top 100 Global Thinkers of 2013, Kalev founded the open data GDELT Project. From 2013- 2014 he was the Yahoo! Fellow in Residence of International Values, Communications Technology & the Global Internet at Georgetown University's Edmund A. Walsh School of Foreign Service, where he was also an Adjunct Assistant Professor, as well as a Council Member of the World Economic Forum's Global Agenda Council on the Future of Government. His work has been profiled in the presses of more than 100 nations and in 2011 The Economist selected his Culturomics 2.0 study as one of just five science discoveries deemed the most significant developments of 2011. Kalev’s work focuses on how innovative applications of the world's largest datasets, computing platforms, algorithms and mind-sets can reimagine the way we understand and interact with our global world. More on his latest projects can be found on his website at https://www.kalevleetaru.com/ or https://blog.gdeltproject.org
Chief Product Officer with deep expertise in bringing maturity and ethics to AI product lines, going from $0 to $100 mil and beyond, and helping the user as we do it.
I run a software and biomedical engineering consultancy, centred around automation at scale. Open-source and interoperability—cross-platform, cross-language, compilers, multi-ML—focussed, we create technology to scale from 1 to 10,000 servers.
PhD (Medicine) conferred May 2021, focussing on facilitating large-scale medical diagnostic screening.
Google Developer Expert in Machine Learning.
Googlers who will share their technical expertise