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2023 Don Morrison Long Term Impact Award in Marketing

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Personalization, Consumer Search and  Algorithmic Pricing

Unequal Impact of Zestimate on the Housing Market

Do Lower-Quality Images Lead to Higher Demand on Airbnb?

Consumer Risk Preferences Elicitation From Large Language Models

Algorithmic Transparency with Strategic Users

Param Singh is the Carnegie Bosch Professor of Business Technologies and Marketing at Carnegie Mellon's Tepper School of Business, where he also serves as Associate Dean for Research. In this leadership role, he drives interdisciplinary collaboration and fosters groundbreaking research across the Tepper School. His research focuses on the intersection of economics, machine learning and AI, particularly developing algorithms that address economic inequality, algorithmic bias, and the societal impacts of AI. Param also play an active role in shaping the academic community as a Senior Editor for Information Systems Research and an Associate Editor for Management Science. Recognized as the youngest recipient of the INFORMS Information Systems Society Distinguished Fellow award and named PhD Distinguished Alumnus by the University of Washington in 2022, he remains committed to advancing AI and machine learning research that addresses real-world economic and societal challenges.

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Study unveils the career impact of attractiveness: Higher salaries and prestigious roles over time

Move over Bitcoin. There's a new cryptocurrency in town

Professor of Business Technologies and Marketing

Param Vir Singh, Carnegie Bosch Associate Professor of Business Technologies, speaks about his research on the economic impact of images.


Video Transcript:

(Music)

Param Vir Singh: There's a lot of information data shared online now. There are about 2 billion images that are shared every day. So we tried to figure out what kind of information we can learn from images. I'm applying methodologies from machine learning and deep learning to understand the economic impact of images.

(Music)

So, we have known that product pictures or images play a huge role in impacting demand, but there hasn't been a way to figure out how much of this impact is there or what aspects of the image really play a role in effective demand. So we study this thing in the context of A and B dot com. We want to figure out what aspect of this image leads to more demand and then we want to optimize these images if we can. We can even generate new images. So initially the first thing we started with was to look at whether the quality of the image plays a role.

(Music)

So what we found was if you get a professional photographer to take your property images versus your own images, this will lead to about 8% increase in demand.

(Music)

If you can guide the person's eye on a diagonal across the room, that is the longest line in the room. The same room would look much more spacious. It's exactly the same, nothing changes, it's just how you took the picture. We found that has a big impact on whether your property gets booked or not. We looked at symmetry in a room, that had a big impact like how you organize things within the room. We found that color has a big impact. If you have warm color rooms, that has a huge impact. We have figured out if they were to optimize these things, it's close to about $80 million that they should be making more than what they're making now. They would just optimize the processing images.

(Music)

Param Vir Singh: How Much Is an Image Worth in the Sharing Economy?

A panel featuring leading technologists will share their visions of the future of AI and how we as engineers, business and public policy leaders can and should shape this future. The conversation will focus on the leading edge of their current work as well as emerging possibilities of where AI may be 50 to 100 years from now.

Panelists:

Alexander Gray (CS 2003)
IBM VP, AI Science

Henny Admoni
Assistant Professor, Robotics Institute and Director of the Human and Robot Partners (HARP) Lab

Justine Cassell
Professor and Associate Dean for Technology Strategy and Impact, School of Computer Science

Param Vir Singh
Carnegie Bosch Associate Professor of Business Technologies, Tepper Shool of Business

— Moderated By — 
Laurence Ales
Associate Professor of Economics, Tepper School of Business

INTERSECT@CMU Panel: Designing Intelligence: Shaping AI and Society

https://www.cmu.edu/whats-next-podcast/all-episodes/s2-episode-4-future-of-ai-deepseeks-transformative-impact

What if a small startup transformed the future of artificial intelligence in the blink of an algorithm?

This conversation explores the transformative impact of DeepSeek, a groundbreaking AI chatbot that has disrupted the AI landscape by offering competitive performance at a fraction of the cost of its counterparts. Plus, DeepSeek’s open source model offers transparency and crowdsourced improvements while providing greater access to AI technology for developers and even nations.  Experts discuss the innovations behind DeepSeek, its implications for the future of AI, and the broader trends and challenges in AI development, including its role in scientific discovery, the potential for agentic AI and the possibility of a “zero click” future.

The conversation features insights from Param Vir Singh, the Associate Dean for Research and Carnegie Bosch Professor of Business Technologies and Marketing at CMU’s Tepper School of Business; and Graham Neubig, an Associate Professor at the CMU Language Technology Institute in the School of Computer Science.

Learn more about CMU Experts:
Param Singh - https://www.cmu.edu/news/experts/param.singh
Graham Neubig - https://www.cmu.edu/news/experts/graham.neubig

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