Bayer, the pharmaceutical company that owns big name brands such as Aspirin, Aleve, Midol, Cenesten and Iberogast, recently partnered with Ada Health, an AI-based assessment platform. This free app uses an AI chat robot to collect information on symptoms, patient history and other user targeted questions to generate data-driven suggestions for next steps and proper care. “Ada’s technology is based on a custom-built reasoning engine and a highly comprehensive medical knowledge base, covering thousands of conditions. In fact, in a recent vignettes study testing the eight most popular online symptom assessment apps, Ada was proven to have the most comprehensive condition coverage, providing a condition suggestion 99% of the time, […]

Brandeis Marshall, Professor of Computer Science at Spelman College, will present as a part of Columbia University Data Science Institute’s Race + Data Science Lecture Series. Marshall’s presentation, “Waking up to Marginalization in Data Education” will address racial marginalization as a result of computing practices and possible ways to combat bias. The presentation will be held Wednesday December 1, 2021 from 11:00 AM – 12:00 PM ET. You can register for the event here. Brandeis Marshall Bio: Brandeis teaches, speaks and writes about the impact of data practices on technology and society. Her work contributes to the data engineering, data science, and data/computer science education fields. Through Dr. Marshall’s data […]

The White House Office of Science and Technology (OSTP) is launching a series of listening sessions and events to involve the American public in the development of a Bill of Rights for an Automated Society. With the growing influence of data-driven technologies, the series is part of a national endeavor to ensure that emerging socio-technical systems are safe and just. In addition to the RFI on current or planned uses of AI-enabled biometric technologies, OSTP will hold two public listening sessions and six public discussion forums seeking input from key stakeholders. Listening Sessions on Public and Private Sector Uses of AI-Enabled Biometrics Listening Session One: Thursday, November  18th, 4:00 p.m. […]

Dr. Fei-Fei Li, of Stanford University, is presenting a lecture titled “From Seeing to Doing: Understanding and Interacting with the Real World” as a part of the National Science Foundation’s (NSF) Computer & Information Science & Engineering (CISE) Distinguished Lecture Series. Li’s lecture will be on November 4th, 2021 from 12-1:30pm EDT. Dr. Fei-Fei Li is the inaugural Sequoia Professor in the Computer Science Department at Stanford University where she leads Stanford’s Human-Centered Artificial Intelligence (AI) Institute as the Co-Director and served as the Director of the AI Lab from 2013 to 2018. She obtained her B.A. degree in physics from Princeton University and her PhD in electrical engineering from […]

The Computing Community Consortium (CCC), the Institute for Operations Research and the Management Sciences (INFORMS) and ACM SIGAI sponsored a virtual workshop, entitled Artificial Intelligence / Operations Research Workshop to provide a space for the Artificial Intelligence (AI) and Operations Research (OR) to discuss a joint strategic vision for a strong and sustained collaboration between the two fields. Organized by Sanmay Das (George Mason University), John Dickerson (University of Maryland), Pascal Van Hentenryck (Georgia Tech), Sven Koenig (University of Southern California), Ramayya Krishnan (Carnegie Mellon University), Radhika Kulkarni (SAS Institute, Inc. – retired), Phebe Vayanos (University of Southern California) the workshop was held on September 24th – 25th, 2021. There […]

The One Hundred Year Study on Artificial Intelligence (AI100) has released their second report, following their first report in 2016. Five years later, a lot more has been written in the computing research community about the state of Artificial Intelligence (AI) and its impact on society. This study, however, remains unique. It is written by a Study Panel of core multi-disciplinary researchers in the field. The authors are firmly rooted within the field of AI and provide an “insider’s” perspective. Second, it is a longitudinal study, with reports by such Study Panels planned once every five years, for at least one hundred years. Quoting from their announcement: Whereas the first […]