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2016 Mobile Ad Summit
Friday
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September 
27
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7:00pm
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Good Systems Critical Surveillance Inquiry Panel
Friday
, 
September 
27
 at 
7:00pm
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The mobile advertising revolution is here.

Brought to you by Good Systems' Critical Surveillance Inquiry Research Focus Area, this panel brings together researchers, artists, and technologists that examine the social and ethical implications of surveillance technologies, both AI-enabled and not. From policing, drones, and the US-Mexico border, to gentrification, evictions, and data collection, this conversation will explore critical inquiry, innovations, and inventive approaches to imagining life beyond the surveillance state.

Moderator

Tanya Clement 

Associate Professor, English 


Tanya Clement studies the dynamic interplay of digital information systems and scholarly research in literary study by considering how the data, algorithms, software, platforms, and networks that comprise digital information systems are co-constructed with the services, practices, policies and theories that govern literary scholarship. Often working collaboratively, she leads teams to build and analyze digital information systems in the humanities, and uses the findings these activities generate to advance theory in critical cultural studies. Her work involves imagining what we don't know by evaluating and rethinking how scholars and institutions produce knowledge through the generation, curation, dissemination, and interpretation of literature as data in contexts that are constantly shifting due to rapidly changing cultures and technologies. 

Zen is a pioneer in the field of mobile advertising. 3DAYS is the 5th company that has achieved a Fortune 500 ranking under his guidance.

Panelists + Moderator

Simone Browne

Associate Professor, African and African Diaspora Studies

Simone Browne is Associate Professor in the Department of African and African Diaspora Studies at the University of Texas at Austin. She is also Research Director of Critical Surveillance Inquiry (CSI) with Good Systems, a research collaborative at the University of Texas at Austin.


She is currently writing her second book manuscript, Like the Mixture of Charcoal and Darkness, which examines the interventions made by artists whose works grapple with the surveillance of Black life, from policing, privacy, smart dust and the FBI’s COINTELPRO to encryption, electronic waste and artificial intelligence. Together, these essays and interviews explore the productive possibilities of rebellious methodologies and creative innovation when it comes to troubling surveillance and its various tactics, and imagining Black life beyond the surveillance state.

Iván Chaar-Lopez

Assistant Professor, American Studies

Iván Chaar López's research and teaching examines the politics and aesthetics of digital technologies. He is especially interested in the place of Latina/o/xs as targets, users, and developers of digital lifeworlds.

 

He is currently working on a book, under contract with Duke University Press, about the intersecting histories of electronic technology, unmanned aerial systems, and boundary making along the U.S.-Mexico border since the mid-twentieth century. This has led López to study how state and nonstate actors have sought to surveil migrant populations, especially ethnic Mexicans. As a result, these populations have played an unwitting central role in the development of various surveillance technologies of US empire.

Sam Lavigne

Assistant Professor, School of Design and Creative Technologies

Sam Lavigne is an artist and educator whose work deals with data, surveillance, cops, natural language processing, and automation. He has exhibited work at Lincoln Center, SFMOMA, Pioneer Works, DIS, Ars Electronica, the New Museum, the Whitney Museum and elsewhere. He is currently an Assistant Professor in the Department of Design at UT Austin.


In works like "White Collar Crime Risk Zones", "The Good Life", and "Infinite Campaign" I interrogate the critical role that data collection and surveillance play in the development of machine learning systems, and how these systems reinforce and bolster existing power structures.


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Erin McElroy

Postdoctoral Researcher, New York University, AI Now Institute

Erin McElroy is a postdoctoral researcher at New York University’s AI Now Institute, researching the digital platforms used by landlords that surveil, racialize, and evict tenants. Erin earned a doctoral degree in Feminist Studies from the University of California, Santa Cruz with a project based on the politics of race, space, and gentrification in and between Romania and Silicon Valley. Erin is also cofounder of the Anti-Eviction Mapping Project and the Radical Housing Journal, both projects committed to housing justice and intersections of research and tenant organizing.


Her current work focuses on the surveillance and AI systems embedded in landlord technology, or the digital platforms and infrastructure used by the real estate industry that abet processes of gentrification, speculation, and racial dispossession. To this end, McElroy leads a project, Landlord Tech Watch, to map landlord tech deployment and analyze its associated harms. Additionally, with the Anti-Eviction Mapping Project, she is codeveloping a tool to help counter technologies of displacement, Evictorbook, which empowers tenants with data about landlord portfolios, eviction histories, and ownership networks.

Tanya Clement

Associate Professor, English                   Moderator 

Tanya Clement studies the dynamic interplay of digital information systems and scholarly research in literary study by considering how the data, algorithms, software, platforms, and networks that comprise digital information systems are co-constructed with the services, practices, policies and theories that govern literary scholarship. Often working collaboratively, she leads teams to build and analyze digital information systems in the humanities, and uses the findings these activities generate to advance theory in critical cultural studies. Her work involves imagining what we don't know by evaluating and rethinking how scholars and institutions produce knowledge through the generation, curation, dissemination, and interpretation of literature as data in contexts that are constantly shifting due to rapidly changing cultures and technologies.

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GOOD SYSTEMS
Designing AI technology that benefits society is our grand challenge.
For more information or questions email: goodsystems@austin.utexas.edu
Visit us on our website: https://goodsystems.utexas.edu
Sign up for our mailing list
Follow us on Twitter: @UTGoodSystems

Agenda

10:15 – 11:00 AM

Presentation: “Optimizing Spend In the Mobile Ad Space”

Kate Walsh – VP of Sales, 3DAYS

11:00 – 12:00 PM

Presentation: “Demystifying Metrics: Making Numbers Work For You”

Charlie Gaudenzi – Mobile Analyst, Mobile Arts

12:00 – 1:00 PM

Lunch


1:00 – 2:00 PM

Rapid-Fire Case Studies

Viral Mobile Ads

Time-based Targeting

Crafting Your Brand Story

When Ads Advocate Action

2:00 – 2:20 PM

Networking Break


2:20 – 3:00 PM

Presentation: “The Mobile Ad Process: 7 Steps to Success”

Jerry Zen – CEO of 3DAYS

3:00 – 3:45 PM

Panel: “Consumer Feedback: When Ads Talk Back”

Jenny Grace – Founder, Target Tween (moderator)

Vee Nguyen – Editor, Ad Market Magazine

Sara Chen – CEO, AdTank

Charlie Gaudenzi – Mobile Analyst, Mobile Arts

3:45 – 4:00 PM

Closing Remarks

Jerry Zen – CEO of 3DAYS

4:00 – 5:30 PM

Rooftop Cocktails


About Good Systems

AI-based technologies are helping us solve complex problems in nearly every discipline and industry, but they have the capacity to be harmful to us in ways we might not predict or intend. Designing AI technologies that benefit society is our grand challenge.


Artificial intelligence is a system that can correctly interpret data, learn from it, and then use what it has learned to adapt in order to achieve specific goals autonomously. It improves our everyday lives, but not without risk.
AI is changing the way we do everything because it’s everywhere — from dating apps to the most advanced military weapons systems. AI does many things faster and better than humans can alone, but there are ethical and societal implications to consider.

How can we ensure that AI is beneficial — not detrimental — to humanity? What unintended consequences are we overlooking by developing technology that can be manipulated and misused?

 
Our goal is to better understand what changes new technologies will bring, predict how those changes will unfold, and mitigate the harms or unintended consequences they could cause while still leveraging the benefits AI provides.

To do that, our team brings students and researchers together from more than two dozen schools and units on The University of Texas at Austin campus to investigate how to define, evaluate, and build a “Good System.”



About Good Systems

AI-based technologies are helping us solve complex problems in nearly every discipline and industry, but they have the capacity to be harmful to us in ways we might not predict or intend. Designing AI technologies that benefit society is our grand challenge.

 

Artificial intelligence is a system that can correctly interpret data, learn from it, and then use what it has learned to adapt in order to achieve specific goals autonomously. It improves our everyday lives, but not without risk.

 

AI is changing the way we do everything because it’s everywhere — from dating apps to the most advanced military weapons systems. AI does many things faster and better than humans can alone, but there are ethical and societal implications to consider.

 

How can we ensure that AI is beneficial — not detrimental — to humanity? What unintended consequences are we overlooking by developing technology that can be manipulated and misused?

 
Our goal is to better understand what changes new technologies will bring, predict how those changes will unfold, and mitigate the harms or unintended consequences they could cause while still leveraging the benefits AI provides.


To do that, our team brings students and researchers together from more than two dozen schools and units on The University of Texas at Austin campus to investigate how to define, evaluate, and build a “Good System.”

RSVP NOW
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GOOD SYSTEMS
Designing AI technology that benefits society is our grand challenge.
For more information or questions email: goodsystems@austin.utexas.edu
Visit us on our website: https://goodsystems.utexas.edu
Sign up for our mailing list
Follow us on Twitter: @UTGoodSystems

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