While wearable computing might seem like a new thing, it has been a part of our imagination since 1945 when Vannevar Bush headed the U.S. Office of Scientific Research and Development and envisioned the head-mounted camera that a scientist could wear while doing experiments. This example and others were given by plenary speaker and Contextual Computing Group Professor Thad Starner from Georgia Tech at the Computing Community Consortium (CCC) Symposium on Computing Research: Addressing National Priorities and Societal Needs. Microdisplays, networking, and sensing all came together in 2010 and suddenly the field of wearable computing was no longer imaginary but real. The CCC Symposium was held on October 23-24, 2017 in Washington, […]

The following is a Science Editorial from former CCC Council member and AI and Robotics Task Force Co-Chair Eric Horvitz, Head of  Microsoft Research Labs. He is also a past president of the Association for the Advancement of Artificial Intelligence (AAAI) and cofounded the One Hundred Year Study on AI at Stanford. In an essay about his science fiction, Isaac Asimov reflected that “it became very common…to picture robots as dangerous devices that invariably destroyed their creators.” He rejected this view and formulated the “laws of robotics,” aimed at ensuring the safety and benevolence of robotic systems. Asimov’s stories about the relationship between people and robots were only a few years old […]

The Thirty-Second AAAI Conference on Artificial Intelligence will be held in New Orleans, Louisiana on February 2-7, 2018. The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers in AI and its affiliated disciplines. AAAI-18 will continue the tradition of previous AAAI conferences with technical paper presentations, invited speakers, workshops, tutorials, poster sessions, senior member presentations, competitions, and exhibit programs, all selected according to the highest standards. AAAI-18 will also include additional programs for students and young researchers. Important Dates for the AAAI-18 Conference July 1 – September 8, 2017: Authors register on the AAAI web […]

The AI Now Initiative is hosting a symposium on July 10th, 2017 at the MIT Media Lab to “address the biggest challenges we face as AI moves further into our everyday lives.” Leaders from industry, academia, civil society, and the government will share ideas for technical design, research and policy directions. See the full agenda here. Panel topics include: Bias Traps in AI A panel discussing how we understand bias in AI systems, highlighting the latest research insights and why issues of bias matter in concrete ways to real people. Governance Gaps Under Trump Trump is in power and Brexit is official. How has this changed the policy landscape for […]

Contributions to the following blog were made by former CCC Chair Gregory Hager and CCC Director Ann Drobnis.  We all know there is a lot of data out there, and the amount of data is growing rapidly – 2500 petabyes a day by some estimates. For data-driven fields such as Artificial Intelligence (AI), the availability of massive amounts of data and vast advances in computing power have now brought us to a unique and exciting phase where the availability of data is a major factor shaping the evolution of AI research. The Information Technology & Innovation Foundation (ITIF) recently released report called 10 Steps Congress Can Take to Accelerate Data […]

Contributions to the following blog were made by former CCC Chair Greg Hager and Tom Kalil, former Deputy Director for Technology and Innovation in the Office of Science and Technology Policy.   It is clear that Artificial Intelligence is having an impact on society and will continue to do so in the foreseeable future, in ways we cannot even imagine today. Through its AI and Robotics Task Force, the Computing Community Consortium (CCC) seeks to articulate the unique research challenges and under-recognized opportunities in AI. This includes a recent addition to the website entitled “AI for Good: Maximizing the economic and societal benefits of AI” authored by Tom Kalil, former […]