Third Quarter Session
At the Machines + Media Working Group, you’ll meet like-minded, data-driven peers.
Join us for a session—to be held each quarter in 2019—to collaborate, share ideas and tricks of the trade, engage in joint projects, and work to build a repository of open source code that can help advance the media industry.
NYC Media Lab has built a community of industry executives and technologists, faculty, students, and entrepreneurs each pursuing applications of data science to media. Advances in artificial intelligence and machine learning, natural language processing, computer vision, and a variety of other technologies are among the most compelling developments for media companies, offering possibilities for the creation, production, distribution and monetization of media content and interactive experiences.
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Agenda for September 10, 2019
Topic: explainable ai
9:00AM: Breakfast & Networking
Get to know the group members over coffee & breakfast. Address: Bloomberg, 731 Lexington Ave, New York, NY
9:30AM: Introduction and Overview
About the 2019 Machines + Media Working Group and ways to collaborate.
9:45AM: What's State of the Art?
Hear technical presentations from startup and industry leaders who will share the latest innovations on the theme of Explainable AI.
Greg Burnham, Senior Researcher, Elemental Cognition
Today’s machine learning techniques in natural language processing rely on finding superficial patterns in large volumes of text. That’s enough for Alexa to answer a trivial question or for Google to translate a phrase. But when humans read, we do far more. We apply rich mental models of how things work—shared understanding that lets us pack lots of meaning into relatively few words. The bulk of that meaning lives not in the words, but in our heads. If computers are to do better than guessing based on how words occur—if they are to understand and explain their understanding well enough for us to rely on them—then a different approach is required. At EC, we are building computers that read stories and interact with humans to create a shared understanding of the world.
Anna Coenen, Senior Data Scientist, The New York Times
Ina Wanca, Vice President, AI Solutions, MasterCard
Ina Wanca leads the AI solutions portfolio within MasterCard Labs with expertise in AI personalization, predictions, and optimization. Additionally, Ms. Wanca is also a cybersecurity lecturer at NYU, who is affiliated with Carnegie Mellon Human-Computer Interaction Institute. Talk title: From Theory to Practice: What happens when you work with something you do not understand? How do we interpret the results of an AI/ML systems in a way that can be explained to a human? What are the legal (e.g. GDPR) requirements that we must meet in this space?
And a special presentation from Bloomberg's AI team.
11:00AM: Roundtable Discussion: What’s Top of Mind?
Engage in a group discussion on top priorities for applications of data science in media.
12:00PM: Event closes
Working group Recap & Related links
The first quarter session was held on Friday, February 22 at The Associated Press. The event included:
A research presentation from: Lydia Chilton, Professor in the Computer Science Department at Columbia University. Her work focuses on crowdsourcing and decomposing hard design problems so that people and machines can collaborate to solve them. She presented VisiBlends, a data system which uses computational techniques and natural language processing to auto-generate visual blends that can pass human visual object recognition.
A startup presentation from: Rungson Samroengraja, President & COO of Satisfi Labs. Satisfi Labs is a conversational AI platform. Its Answer Engine powers chatbots, voice experiences, messaging apps and website forums to provide an answer to all customer questions in real time.
A startup presentation from: Armando Kirwin, Co-Founder of Artie. Artie helps content creators bring virtual characters to life on mobile. Its network shares insights and analytics in real time, allowing creators to understand how consumers interact with each character.
The second quarter session was held on Tuesday, June 11, 2019 at Viacom. The event included:
A research presentation from: Michael I Mandel, Associate Professor of Computer and Information Science at Brooklyn College and the CUNY Graduate Center. Mandel works at the intersection of machine learning, signal processing, and psychoacoustics. His work is supported by the National Science Foundation, including via a CAREER award, the Alfred P. Sloan Foundation, and Google, Inc.
A research presentation from: Enrico Bertini, Associate Professor, Computer Science and Engineering, NYU Tandon School of Engineering. His research focuses on the study of effective data visualization methods and techniques to explore and make sense of large and often high-dimensional data. Bertini's work has been applied to several application domains including: biochemistry, cybersecurity, development, healthcare, climate science, human rights.
A group discussion on priorities and topic areas of interest, including:
Automated creative content generation & 3D scene generation
Workflow solutions for preparing content and data for voice interfaces
Applications of computer vision, including video analysis and searchability
Synthetic media - fake news, AI+ethics, consumer data + adtech
Applications of 5G, edge computing sensors, data inputs
Explainable AI + model interpretability