Tag Archive: CCC

Misinformation Roundtable

/, //Washington, DC
This roundtable will bring together computer scientists along with experts from disciplines potentially to include electrical engineering, psychology, marketing, information science, and political science to discuss challenges in detecting and countering misinformation.

AI Roadmap

/, //CCC & AAAI
In fall 2018, the Computing Community Consortium (CCC) started a new initiative to create a Roadmap for Artificial Intelligence, led by Yolanda Gil (University of Southern California and President-Elect of AAAI) and Bart Selman (Cornell University). A series of three workshops were held in the Fall/Winter of 2018/2019, with the goal of identifying challenges, opportunities, and pitfalls, and create a compelling report that will effectively inform future federal priorities—including future AI R&D Investments. The final report is now available.
Fairness and Accountability Task Force will hold a visioning workshop on Economics and Fairness, May 22-23, 2019 in Cambridge, Massachusetts. This workshop will bring together computer science researchers with backgrounds in algorithmic decision making, machine learning, and data science with policy makers, legal experts, economists, and business leaders to discuss methods to ensure economic fairness in a data-driven world. '>

Economics and Fairness

/, , //Cambridge MA
The Computing Community Consortium's (CCC) Fairness and Accountability Task Force will hold a visioning workshop on Economics and Fairness, May 22-23, 2019 in Cambridge, Massachusetts. This workshop will bring together computer science researchers with backgrounds in algorithmic decision making, machine learning, and data science with policy makers, legal experts, economists, and business leaders to discuss methods to ensure economic fairness in a data-driven world.

Code 8.7: Using Computational Science and AI to End Modern Slavery

/, //United Nations, New York
Code 8.7 is a two-day conference that brings the computational research and artificial intelligence (AI) communities together with those working to achieve Target 8.7 of the Sustainable Development Goals. With Target 8.7, 193 countries agreed to take immediate and effective measures to end forced labour, modern slavery and human trafficking by 2030, and the worst forms of child labour by 2025. Computational science, AI and machine learning can accelerate our understanding of these problems and help us determine “effective measures” to address them. The featured image was made by Ira Gelb.

Artificial Intelligence Roadmap Workshop 3 – Self Aware Learning

/, //JW Marriott San Francisco Union Square
Given the increasingly pervasive use in AI technologies in all sectors of industry and government and the enormous potential for future AI-based technologies, NSF has asked the Computing Community Consortium to organize an AI Roadmap to help prioritize research investments. The third workshop theme is Learning and Robotics and will take place on January 17-18, 2019 in San Francisco. The chairs of the Self Aware Learning workshop are Fei-Fei Li (Stanford University) and Thomas G. Dietterich (Oregon State University). This is part of the AI Roadmap workshop series – view the series page here.

Artificial Intelligence Roadmap Workshop 2 – Interaction

/, //Four Seasons Hotel Denver
Given the increasingly pervasive use in AI technologies in all sectors of industry and government, and the enormous potential for future AI-based technologies, NSF has asked the Computing Community Consortium to organize an AI Roadmap to help prioritize research investments. The second workshop theme is interaction and will take place on November 14-15, 2018 in Chicago. The chairs of the interaction workshop are Kathy McKeown (Columbia University) and Dan Weld (University of Washington). This is part of the AI Roadmap workshop series – view the series page here.

Content Generation for Workforce Training

/, //Georgia Tech Hotel and Conference Center
The CCC held a visioning workshop in Atlanta, GA in March 2019 to discuss and articulate research visions for authoring rich graphical content for new workforce training. The workshop's goal was to articulate research challenges and needs and to summarize the current state of the practice in this area.

Artificial Intelligence Roadmap Workshop 1 – Integrated Intelligence

/, //Chicago, Illinois
Given the increasingly pervasive use in AI technologies in all sectors of industry and government, and the enormous potential for future AI-based technologies, NSF has asked the Computing Community Consortium to organize an AI Roadmap to help prioritize research investments. The first workshop theme is Integrated Intelligence and will take place on November 14-15, 2018 in Chicago. The chairs of the Integrated Intelligence workshop are Marie desJardins (Simmons University) and Ken Forbus (Northwestern University). This is part of the AI Roadmap workshop series – view the series page here.

Thermodynamic Computing

/, //Prince Wakiki Hotel
Thermodynamics has been a historical concern in the engineering of conventional computing systems due to its role in power consumption, scaling, and device performance. Today, we see thermodynamics re-emerging in a new role as an algorithmic technique in areas such as machine learning, annealing, quantum, and neuromorphic systems. Recent theoretical developments in non-equilibrium thermodynamics suggest thermodynamics may become the basis of a new “thermodynamic computing” paradigm. For example, it may lead to computing systems that self-organize in response to external input.