Trust, Transparency & Technology Panel Series: Trust and Transparency in Human – AI Collaborations

May 30, 2018|4:30pm

Information technologies are expanding the parameters of media, pervading our environments, our systems, and our daily lives. The direct connection between people and their data is now brokered via algorithms. Machine learning, pattern recognition, and sensor driven applications play out behind the scenes. Understanding the conditions that help to build trust is a worthy challenge for the open, non-linear, multi-faceted, and globally connected world we live in.

Trust, Transparency & Technology is a series of panel discussions that delve into the research, concepts and tools that may help create open collaborations in a world of automated intelligent agents, algorithm-driven interactions, and machines that can learn what humans can’t explain.

The topic this week is Trust and Transparency in Human – AI Collaborations

Gunnar Carlsson is one of the most renowned mathematicians in the world. He is co-founder and President of Ayasdi, and was Chair of Stanford University’s Department of Mathematics from 1995 -1998. Gunnar has taught at the University of Chicago, University of California, Princeton University, and Stanford University, where he has been a thought leader in a branch of mathematics called topology, the study of shape. Gunnar pioneered the applied use of topology to solve complex real world problems. This work led to $10M in research grants from the National Science Foundation (NSF) and DARPA to study the application of Topological Data Analysis (TDA) to problems of interest within the U.S. government. In 2008, Gunnar, co-founded Ayasdi, building enterprise class AI for real world challenges.

Ranjay Krisha is a PhD candidate/Researcher in the AI Laboratory at Stanford University. His research interests lie at the intersection of artificial intelligence, computer vision, machine learning and human computer interaction. Ranjay is part of the Visual Genome team at Stanford University, connecting structured image concepts to language. Ranjay and his partner, Apporva Dornadula, were recently awarded the 2018 Brown Institute Magic Grant to to create a conversational AI agent on Instagram, which will be learning to converse while also training in visual identification.

Henriette Cramer is a research team lead at Spotify, focused on the human side of Machine Learning. Her research focuses on voice interactions, and algorithmic bias. She is particularly interested in decisions that affect Machine Learning outcomes, the feedback loop between data and design, and the (mis)match between humans’ and machines’ models of the world around them. She enjoys pragmatic approaches to translating research insights into practice, and combining insights from product studies into a larger strategic picture.

Ryan Welsh is the founder and CEO of Kyndi, building the first Explainable AI platform for government, financial services, and healthcare. Kyndi was developed to help critical organizations go beyond “black box” machine learning to explain the reasons for their decisions. Kyndi’s auditable AI system aims to optimize human cognitive performance and help mitigate the bias that can arise in the process of extracting knowledge and answers from data.

Karina Alexanyan is the Member Benefits Manager with mediaX at Stanford University and moderator of the panel series. Dr. Alexanyan’s research background is in global social media networks, technology, and education. She has consulted for leading academic, corporate and non-profit clients, including Stanford, Harvard and Columbia Universities. Alexanyan holds a PhD in Communications from Columbia University, a M.A. in Communication from NYU and a BA in Linguistics and Modern Languages from the Claremont Colleges.

Full event information: http://events.stanford.edu/events/785/78505

Admission Description:

Free and Open to the Public
(Space Permitting)

Map URL: https://www.google.com/maps/dir/''/''/@37.4245013,-122.1673808,19z/data=!4m8!4m7!1m0!1m5!1m1!1s0x808fbad6c545d035:0x21b1c44ea2bbcbb5!2m2!1d-122.1668314!2d37.424522

Location: CERAS 101

Contact Email: jwilmot@stanford.edu