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CSITM at IIMB to host ‘AI and Advertising: Can Machines Transform Trust, Creativity, and Business Models’ panel on 18 November

Session to feature experts from the University of Minnesota, Columbia Business School, University of Texas, and MIT

7 November, 2025, Bengaluru: As part of its initiative to promote the dissemination and application of knowledge for the benefit of academic and industry professionals, the Centre for Software and IT Management (CSITM) at IIM Bangalore will host a panel discussion titled ‘AI and Advertising: Can Machines Transform Trust, Creativity, and Business Models?’, on 18 November 2025, at 19:30 Hrs. (IST).

The webinar, followed by a Q&A session, is set to feature the following roundup of speakers:

  • Dr. Jisu Huh, Professor and Raymond O. Mithun Chair in Advertising, Hubbard School of Journalism and Mass Communication, University of Minnesota; Editor-in-Chief, Journal of Advertising.
  • Dr. Kinshuk Jerath, Arthur F. Burns Chair of Free and Competitive Enterprise, Professor of Business (Marketing Division), Columbia Business School.
  • Dr. Laura Bright, Professor of Media Analytics, School of Advertising and Public Relations, Moody College of Communication, University of Texas at Austin.
  • Dr. Ramesh Raskar, Professor, MIT Media Lab, Director, Camera Culture Research Group, Massachusetts Institute of Technology.

To register, please click HERE. You will be sent a Zoom link for the webinar after registering.

Abstract:
Almost all the innovation, customer interaction, and business trust is being rewritten by artificial intelligence (AI). Critical challenges emerge as computers start to create campaigns, generate text, and customize experiences: Can robots comprehend human emotion and intent? Will creativity be replicated or redefined by automation? In the era of data-driven persuasion, how can we strike a compromise between privacy and personalization? What new business models and ethical frameworks need to be developed when AI becomes a co-creator to maintain customer and brand trust?

Brands, platforms, and audiences are changing because of AI-driven advertising, according to new research in marketing and communication studies. Researchers have examined how machine learning improves the efficacy of advertising, how algorithmic targeting modifies the consumer decision-making process, and how automation changes the role of human creativity. Data ethics, transparency, and the changing nature of trust in the digital media ecosystem are issues that are addressed in parallel work. While AI offers unparalleled precision and scalability, it also poses serious concerns regarding fairness, authenticity, and user autonomy, according to insights from consumer behavior research and computational modelling. When combined, these questions show that the advertising industry has started to shift towards a new balance, where algorithmic reasoning and human intuition will have to coexist to yield meaningful engagement.

Top experts in technology, marketing, and communication will deliberate on the accelerating change of pace at which artificial intelligence has changed the creative economy. Its effects on consumer trust, the limits of machine-led creativity, and how changing business models can ethically adjust to this new age of intelligent persuasion will all be covered in the session. The conversation will also look at how the combination of machine intelligence, behavioral insights, and data science is changing the global advertising landscape and upending traditional ideas of accountability, creativity, and authenticity.

Speaker details:

Dr. Jisu Huh is the Associate Dean for Research and Graduate Programs in the College of Liberal Arts and a Professor and Raymond O. Mithun Endowed Chair in Advertising in the Hubbard School of Journalism and Mass Communication at the University of Minnesota – Twin Cities.

Her research explores the effects of advertising on consumers and its functional and dysfunctional roles in society. She leads the Minnesota Computational Advertising Lab (https://mcal.umn.edu/), an interdisciplinary research group focused on computational advertising, AI and advertising, consumer trust and information diffusion, consumer–brand engagement on social media, and direct-to-consumer healthcare advertising.

Dr. Huh is a past president of the American Academy of Advertising (AAA) and currently serves as the Editor-in-Chief of the Journal of Advertising — the flagship publication of the AAA and the highest-ranked journal across advertising, public relations, strategic communication, and marketing communication disciplines.

Dr. Kinshuk Jerath is the Arthur F. Burns Chair of Free and Competitive Enterprise and Professor of Business in the Marketing Division at Columbia Business School. His research focuses on technology-enabled marketing, with specific interests in online advertising, online and offline retailing, sales force management, and customer management.

Dr. Jerath’s work has been published in leading marketing and operations management journals, including Marketing Science, Journal of Marketing Research, Management Science, and Operations Research. He serves as an Associate Editor at Journal of Marketing Research, Management Science, Quantitative Marketing and Economics, and Journal of Retailing, as well as a Senior Editor at Production and Operations Management. He also sits on the editorial boards of several other top-tier journals, including Marketing Science.

He has been recognized by the Marketing Science Institute (MSI) as a Young Scholar (2013) and a Scholar (2018), and has received research grants from Amazon, Google, Adobe, and other institutions, including MSI. At Columbia Business School, he teaches courses on Digital Marketing, Frontiers of Retailing, and Customer Management. Beyond academia, Dr. Jerath has consulted Fortune 500 companies, served as an expert witness in several high-profile legal cases, and sits on the advisory boards of multiple startups.

He holds a B.Tech. in Computer Science and Engineering from the Indian Institute of Technology Bombay and a Ph.D. in Operations and Information Management from the Wharton School, University of Pennsylvania. He also served as Chair of the Marketing Division at Columbia Business School from 2022 to 2025, and previously taught at the Tepper School of Business, Carnegie Mellon University.

Dr. Laura F. Bright is the Director of the Nelson Center for Brand and Demand Analytics in the Moody College of Communication and an Associate Professor of Media Analytics in the Stan Richards School of Advertising and Public Relations at the University of Texas at Austin.

Her research examines consumer behavior in digital environments, with a focus on social media effects, consumer privacy, digital well-being, and data analytics. Dr. Bright’s work has been published in leading journals such as the Journal of Advertising, Journal of Business Research, International Journal of Advertising, Journal of Current Issues & Research in Advertising, Journal of Interactive Advertising, Computers in Human Behavior, Journal of Marketing Communications, Psychology & Marketing, and Internet Research, among others.

In the classroom, she teaches courses in media management, social media effects, personal brand management, and research methods. Dr. Bright has served as an Associate Editor for the Journal of Interactive Advertising and currently serves on the editorial review boards of several premier journals, including the Journal of Advertising, Journal of Advertising Research, Journal of Interactive Advertising, Journal of Current Issues & Research in Advertising, International Journal of Advertising, and the Journal of Social Media in Society.

Before joining academia, Dr. Bright spent over a decade in the interactive advertising industry in Austin, Texas, and continues to consult organizations on optimizing their digital presence. She is an active member of the American Academy of Advertising (AAA) and the European Academy of Advertising (EAA).

Dr. Ramesh Raskar is a Professor at the MIT Media Lab and Director of the Camera Culture Research Group. His work lies at the intersection of machine learning and imaging for health and sustainability, spanning innovations in sensors, health-tech, privacy-aware AI, and global-scale technologies such as geomaps and autonomous mobility.

At MIT, Dr. Raskar has co-invented several breakthrough technologies, including the camera that sees around corners, femto-photography, AutoML, split learning, low-cost eye-care devices (Netra, Catra, EyeSelfie), and 3D interaction displays (BiDi Screen). Previously, at Facebook, he led innovation teams in digital health, connectivity, satellite imaging, and VR/AR. He has received major recognitions such as the Lemelson–MIT Award (2016), ACM SIGGRAPH Achievement Award (2017), TR100 Award (2004), and DARPA Young Faculty Award (2010). His work has been featured in The New York Times, CNN, BBC, and MIT Technology Review, and he has delivered keynotes at TED, Wired, and Google Solve for X. Dr. Raskar holds over 90 U.S. patents and is the founder of REDX.io, a platform empowering young innovators to apply AI for Impact.

Add to Calendar 2025-11-18 05:30:00 2025-11-07 16:22:56 CSITM at IIMB to host ‘AI and Advertising: Can Machines Transform Trust, Creativity, and Business Models’ panel on 18 November Session to feature experts from the University of Minnesota, Columbia Business School, University of Texas, and MIT 7 November, 2025, Bengaluru: As part of its initiative to promote the dissemination and application of knowledge for the benefit of academic and industry professionals, the Centre for Software and IT Management (CSITM) at IIM Bangalore will host a panel discussion titled ‘AI and Advertising: Can Machines Transform Trust, Creativity, and Business Models?’, on 18 November 2025, at 19:30 Hrs. (IST). The webinar, followed by a Q&A session, is set to feature the following roundup of speakers: Dr. Jisu Huh, Professor and Raymond O. Mithun Chair in Advertising, Hubbard School of Journalism and Mass Communication, University of Minnesota; Editor-in-Chief, Journal of Advertising. Dr. Kinshuk Jerath, Arthur F. Burns Chair of Free and Competitive Enterprise, Professor of Business (Marketing Division), Columbia Business School. Dr. Laura Bright, Professor of Media Analytics, School of Advertising and Public Relations, Moody College of Communication, University of Texas at Austin. Dr. Ramesh Raskar, Professor, MIT Media Lab, Director, Camera Culture Research Group, Massachusetts Institute of Technology. To register, please click HERE. You will be sent a Zoom link for the webinar after registering. Abstract: Almost all the innovation, customer interaction, and business trust is being rewritten by artificial intelligence (AI). Critical challenges emerge as computers start to create campaigns, generate text, and customize experiences: Can robots comprehend human emotion and intent? Will creativity be replicated or redefined by automation? In the era of data-driven persuasion, how can we strike a compromise between privacy and personalization? What new business models and ethical frameworks need to be developed when AI becomes a co-creator to maintain customer and brand trust? Brands, platforms, and audiences are changing because of AI-driven advertising, according to new research in marketing and communication studies. Researchers have examined how machine learning improves the efficacy of advertising, how algorithmic targeting modifies the consumer decision-making process, and how automation changes the role of human creativity. Data ethics, transparency, and the changing nature of trust in the digital media ecosystem are issues that are addressed in parallel work. While AI offers unparalleled precision and scalability, it also poses serious concerns regarding fairness, authenticity, and user autonomy, according to insights from consumer behavior research and computational modelling. When combined, these questions show that the advertising industry has started to shift towards a new balance, where algorithmic reasoning and human intuition will have to coexist to yield meaningful engagement. Top experts in technology, marketing, and communication will deliberate on the accelerating change of pace at which artificial intelligence has changed the creative economy. Its effects on consumer trust, the limits of machine-led creativity, and how changing business models can ethically adjust to this new age of intelligent persuasion will all be covered in the session. The conversation will also look at how the combination of machine intelligence, behavioral insights, and data science is changing the global advertising landscape and upending traditional ideas of accountability, creativity, and authenticity. Speaker details: Dr. Jisu Huh is the Associate Dean for Research and Graduate Programs in the College of Liberal Arts and a Professor and Raymond O. Mithun Endowed Chair in Advertising in the Hubbard School of Journalism and Mass Communication at the University of Minnesota – Twin Cities. Her research explores the effects of advertising on consumers and its functional and dysfunctional roles in society. She leads the Minnesota Computational Advertising Lab (https://mcal.umn.edu/), an interdisciplinary research group focused on computational advertising, AI and advertising, consumer trust and information diffusion, consumer–brand engagement on social media, and direct-to-consumer healthcare advertising. Dr. Huh is a past president of the American Academy of Advertising (AAA) and currently serves as the Editor-in-Chief of the Journal of Advertising — the flagship publication of the AAA and the highest-ranked journal across advertising, public relations, strategic communication, and marketing communication disciplines. Dr. Kinshuk Jerath is the Arthur F. Burns Chair of Free and Competitive Enterprise and Professor of Business in the Marketing Division at Columbia Business School. His research focuses on technology-enabled marketing, with specific interests in online advertising, online and offline retailing, sales force management, and customer management. Dr. Jerath’s work has been published in leading marketing and operations management journals, including Marketing Science, Journal of Marketing Research, Management Science, and Operations Research. He serves as an Associate Editor at Journal of Marketing Research, Management Science, Quantitative Marketing and Economics, and Journal of Retailing, as well as a Senior Editor at Production and Operations Management. He also sits on the editorial boards of several other top-tier journals, including Marketing Science. He has been recognized by the Marketing Science Institute (MSI) as a Young Scholar (2013) and a Scholar (2018), and has received research grants from Amazon, Google, Adobe, and other institutions, including MSI. At Columbia Business School, he teaches courses on Digital Marketing, Frontiers of Retailing, and Customer Management. Beyond academia, Dr. Jerath has consulted Fortune 500 companies, served as an expert witness in several high-profile legal cases, and sits on the advisory boards of multiple startups. He holds a B.Tech. in Computer Science and Engineering from the Indian Institute of Technology Bombay and a Ph.D. in Operations and Information Management from the Wharton School, University of Pennsylvania. He also served as Chair of the Marketing Division at Columbia Business School from 2022 to 2025, and previously taught at the Tepper School of Business, Carnegie Mellon University. Dr. Laura F. Bright is the Director of the Nelson Center for Brand and Demand Analytics in the Moody College of Communication and an Associate Professor of Media Analytics in the Stan Richards School of Advertising and Public Relations at the University of Texas at Austin. Her research examines consumer behavior in digital environments, with a focus on social media effects, consumer privacy, digital well-being, and data analytics. Dr. Bright’s work has been published in leading journals such as the Journal of Advertising, Journal of Business Research, International Journal of Advertising, Journal of Current Issues & Research in Advertising, Journal of Interactive Advertising, Computers in Human Behavior, Journal of Marketing Communications, Psychology & Marketing, and Internet Research, among others. In the classroom, she teaches courses in media management, social media effects, personal brand management, and research methods. Dr. Bright has served as an Associate Editor for the Journal of Interactive Advertising and currently serves on the editorial review boards of several premier journals, including the Journal of Advertising, Journal of Advertising Research, Journal of Interactive Advertising, Journal of Current Issues & Research in Advertising, International Journal of Advertising, and the Journal of Social Media in Society. Before joining academia, Dr. Bright spent over a decade in the interactive advertising industry in Austin, Texas, and continues to consult organizations on optimizing their digital presence. She is an active member of the American Academy of Advertising (AAA) and the European Academy of Advertising (EAA). Dr. Ramesh Raskar is a Professor at the MIT Media Lab and Director of the Camera Culture Research Group. His work lies at the intersection of machine learning and imaging for health and sustainability, spanning innovations in sensors, health-tech, privacy-aware AI, and global-scale technologies such as geomaps and autonomous mobility. At MIT, Dr. Raskar has co-invented several breakthrough technologies, including the camera that sees around corners, femto-photography, AutoML, split learning, low-cost eye-care devices (Netra, Catra, EyeSelfie), and 3D interaction displays (BiDi Screen). Previously, at Facebook, he led innovation teams in digital health, connectivity, satellite imaging, and VR/AR. He has received major recognitions such as the Lemelson–MIT Award (2016), ACM SIGGRAPH Achievement Award (2017), TR100 Award (2004), and DARPA Young Faculty Award (2010). His work has been featured in The New York Times, CNN, BBC, and MIT Technology Review, and he has delivered keynotes at TED, Wired, and Google Solve for X. Dr. Raskar holds over 90 U.S. patents and is the founder of REDX.io, a platform empowering young innovators to apply AI for Impact. IIM Bangalore IIM Bangalore communications@iimb.ac.in Asia/Kolkata public
18 Nov 2025

CSITM at IIMB to host ‘AI and Advertising: Can Machines Transform Trust, Creativity, and Business Models’ panel on 18 November

Add to Calendar 2025-11-18 05:30:00 2025-11-07 16:22:56 CSITM at IIMB to host ‘AI and Advertising: Can Machines Transform Trust, Creativity, and Business Models’ panel on 18 November Session to feature experts from the University of Minnesota, Columbia Business School, University of Texas, and MIT 7 November, 2025, Bengaluru: As part of its initiative to promote the dissemination and application of knowledge for the benefit of academic and industry professionals, the Centre for Software and IT Management (CSITM) at IIM Bangalore will host a panel discussion titled ‘AI and Advertising: Can Machines Transform Trust, Creativity, and Business Models?’, on 18 November 2025, at 19:30 Hrs. (IST). The webinar, followed by a Q&A session, is set to feature the following roundup of speakers: Dr. Jisu Huh, Professor and Raymond O. Mithun Chair in Advertising, Hubbard School of Journalism and Mass Communication, University of Minnesota; Editor-in-Chief, Journal of Advertising. Dr. Kinshuk Jerath, Arthur F. Burns Chair of Free and Competitive Enterprise, Professor of Business (Marketing Division), Columbia Business School. Dr. Laura Bright, Professor of Media Analytics, School of Advertising and Public Relations, Moody College of Communication, University of Texas at Austin. Dr. Ramesh Raskar, Professor, MIT Media Lab, Director, Camera Culture Research Group, Massachusetts Institute of Technology. To register, please click HERE. You will be sent a Zoom link for the webinar after registering. Abstract: Almost all the innovation, customer interaction, and business trust is being rewritten by artificial intelligence (AI). Critical challenges emerge as computers start to create campaigns, generate text, and customize experiences: Can robots comprehend human emotion and intent? Will creativity be replicated or redefined by automation? In the era of data-driven persuasion, how can we strike a compromise between privacy and personalization? What new business models and ethical frameworks need to be developed when AI becomes a co-creator to maintain customer and brand trust? Brands, platforms, and audiences are changing because of AI-driven advertising, according to new research in marketing and communication studies. Researchers have examined how machine learning improves the efficacy of advertising, how algorithmic targeting modifies the consumer decision-making process, and how automation changes the role of human creativity. Data ethics, transparency, and the changing nature of trust in the digital media ecosystem are issues that are addressed in parallel work. While AI offers unparalleled precision and scalability, it also poses serious concerns regarding fairness, authenticity, and user autonomy, according to insights from consumer behavior research and computational modelling. When combined, these questions show that the advertising industry has started to shift towards a new balance, where algorithmic reasoning and human intuition will have to coexist to yield meaningful engagement. Top experts in technology, marketing, and communication will deliberate on the accelerating change of pace at which artificial intelligence has changed the creative economy. Its effects on consumer trust, the limits of machine-led creativity, and how changing business models can ethically adjust to this new age of intelligent persuasion will all be covered in the session. The conversation will also look at how the combination of machine intelligence, behavioral insights, and data science is changing the global advertising landscape and upending traditional ideas of accountability, creativity, and authenticity. Speaker details: Dr. Jisu Huh is the Associate Dean for Research and Graduate Programs in the College of Liberal Arts and a Professor and Raymond O. Mithun Endowed Chair in Advertising in the Hubbard School of Journalism and Mass Communication at the University of Minnesota – Twin Cities. Her research explores the effects of advertising on consumers and its functional and dysfunctional roles in society. She leads the Minnesota Computational Advertising Lab (https://mcal.umn.edu/), an interdisciplinary research group focused on computational advertising, AI and advertising, consumer trust and information diffusion, consumer–brand engagement on social media, and direct-to-consumer healthcare advertising. Dr. Huh is a past president of the American Academy of Advertising (AAA) and currently serves as the Editor-in-Chief of the Journal of Advertising — the flagship publication of the AAA and the highest-ranked journal across advertising, public relations, strategic communication, and marketing communication disciplines. Dr. Kinshuk Jerath is the Arthur F. Burns Chair of Free and Competitive Enterprise and Professor of Business in the Marketing Division at Columbia Business School. His research focuses on technology-enabled marketing, with specific interests in online advertising, online and offline retailing, sales force management, and customer management. Dr. Jerath’s work has been published in leading marketing and operations management journals, including Marketing Science, Journal of Marketing Research, Management Science, and Operations Research. He serves as an Associate Editor at Journal of Marketing Research, Management Science, Quantitative Marketing and Economics, and Journal of Retailing, as well as a Senior Editor at Production and Operations Management. He also sits on the editorial boards of several other top-tier journals, including Marketing Science. He has been recognized by the Marketing Science Institute (MSI) as a Young Scholar (2013) and a Scholar (2018), and has received research grants from Amazon, Google, Adobe, and other institutions, including MSI. At Columbia Business School, he teaches courses on Digital Marketing, Frontiers of Retailing, and Customer Management. Beyond academia, Dr. Jerath has consulted Fortune 500 companies, served as an expert witness in several high-profile legal cases, and sits on the advisory boards of multiple startups. He holds a B.Tech. in Computer Science and Engineering from the Indian Institute of Technology Bombay and a Ph.D. in Operations and Information Management from the Wharton School, University of Pennsylvania. He also served as Chair of the Marketing Division at Columbia Business School from 2022 to 2025, and previously taught at the Tepper School of Business, Carnegie Mellon University. Dr. Laura F. Bright is the Director of the Nelson Center for Brand and Demand Analytics in the Moody College of Communication and an Associate Professor of Media Analytics in the Stan Richards School of Advertising and Public Relations at the University of Texas at Austin. Her research examines consumer behavior in digital environments, with a focus on social media effects, consumer privacy, digital well-being, and data analytics. Dr. Bright’s work has been published in leading journals such as the Journal of Advertising, Journal of Business Research, International Journal of Advertising, Journal of Current Issues & Research in Advertising, Journal of Interactive Advertising, Computers in Human Behavior, Journal of Marketing Communications, Psychology & Marketing, and Internet Research, among others. In the classroom, she teaches courses in media management, social media effects, personal brand management, and research methods. Dr. Bright has served as an Associate Editor for the Journal of Interactive Advertising and currently serves on the editorial review boards of several premier journals, including the Journal of Advertising, Journal of Advertising Research, Journal of Interactive Advertising, Journal of Current Issues & Research in Advertising, International Journal of Advertising, and the Journal of Social Media in Society. Before joining academia, Dr. Bright spent over a decade in the interactive advertising industry in Austin, Texas, and continues to consult organizations on optimizing their digital presence. She is an active member of the American Academy of Advertising (AAA) and the European Academy of Advertising (EAA). Dr. Ramesh Raskar is a Professor at the MIT Media Lab and Director of the Camera Culture Research Group. His work lies at the intersection of machine learning and imaging for health and sustainability, spanning innovations in sensors, health-tech, privacy-aware AI, and global-scale technologies such as geomaps and autonomous mobility. At MIT, Dr. Raskar has co-invented several breakthrough technologies, including the camera that sees around corners, femto-photography, AutoML, split learning, low-cost eye-care devices (Netra, Catra, EyeSelfie), and 3D interaction displays (BiDi Screen). Previously, at Facebook, he led innovation teams in digital health, connectivity, satellite imaging, and VR/AR. He has received major recognitions such as the Lemelson–MIT Award (2016), ACM SIGGRAPH Achievement Award (2017), TR100 Award (2004), and DARPA Young Faculty Award (2010). His work has been featured in The New York Times, CNN, BBC, and MIT Technology Review, and he has delivered keynotes at TED, Wired, and Google Solve for X. Dr. Raskar holds over 90 U.S. patents and is the founder of REDX.io, a platform empowering young innovators to apply AI for Impact. IIM Bangalore IIM Bangalore communications@iimb.ac.in Asia/Kolkata public

Session to feature experts from the University of Minnesota, Columbia Business School, University of Texas, and MIT

7 November, 2025, Bengaluru: As part of its initiative to promote the dissemination and application of knowledge for the benefit of academic and industry professionals, the Centre for Software and IT Management (CSITM) at IIM Bangalore will host a panel discussion titled ‘AI and Advertising: Can Machines Transform Trust, Creativity, and Business Models?’, on 18 November 2025, at 19:30 Hrs. (IST).

The webinar, followed by a Q&A session, is set to feature the following roundup of speakers:

  • Dr. Jisu Huh, Professor and Raymond O. Mithun Chair in Advertising, Hubbard School of Journalism and Mass Communication, University of Minnesota; Editor-in-Chief, Journal of Advertising.
  • Dr. Kinshuk Jerath, Arthur F. Burns Chair of Free and Competitive Enterprise, Professor of Business (Marketing Division), Columbia Business School.
  • Dr. Laura Bright, Professor of Media Analytics, School of Advertising and Public Relations, Moody College of Communication, University of Texas at Austin.
  • Dr. Ramesh Raskar, Professor, MIT Media Lab, Director, Camera Culture Research Group, Massachusetts Institute of Technology.

To register, please click HERE. You will be sent a Zoom link for the webinar after registering.

Abstract:
Almost all the innovation, customer interaction, and business trust is being rewritten by artificial intelligence (AI). Critical challenges emerge as computers start to create campaigns, generate text, and customize experiences: Can robots comprehend human emotion and intent? Will creativity be replicated or redefined by automation? In the era of data-driven persuasion, how can we strike a compromise between privacy and personalization? What new business models and ethical frameworks need to be developed when AI becomes a co-creator to maintain customer and brand trust?

Brands, platforms, and audiences are changing because of AI-driven advertising, according to new research in marketing and communication studies. Researchers have examined how machine learning improves the efficacy of advertising, how algorithmic targeting modifies the consumer decision-making process, and how automation changes the role of human creativity. Data ethics, transparency, and the changing nature of trust in the digital media ecosystem are issues that are addressed in parallel work. While AI offers unparalleled precision and scalability, it also poses serious concerns regarding fairness, authenticity, and user autonomy, according to insights from consumer behavior research and computational modelling. When combined, these questions show that the advertising industry has started to shift towards a new balance, where algorithmic reasoning and human intuition will have to coexist to yield meaningful engagement.

Top experts in technology, marketing, and communication will deliberate on the accelerating change of pace at which artificial intelligence has changed the creative economy. Its effects on consumer trust, the limits of machine-led creativity, and how changing business models can ethically adjust to this new age of intelligent persuasion will all be covered in the session. The conversation will also look at how the combination of machine intelligence, behavioral insights, and data science is changing the global advertising landscape and upending traditional ideas of accountability, creativity, and authenticity.

Speaker details:

Dr. Jisu Huh is the Associate Dean for Research and Graduate Programs in the College of Liberal Arts and a Professor and Raymond O. Mithun Endowed Chair in Advertising in the Hubbard School of Journalism and Mass Communication at the University of Minnesota – Twin Cities.

Her research explores the effects of advertising on consumers and its functional and dysfunctional roles in society. She leads the Minnesota Computational Advertising Lab (https://mcal.umn.edu/), an interdisciplinary research group focused on computational advertising, AI and advertising, consumer trust and information diffusion, consumer–brand engagement on social media, and direct-to-consumer healthcare advertising.

Dr. Huh is a past president of the American Academy of Advertising (AAA) and currently serves as the Editor-in-Chief of the Journal of Advertising — the flagship publication of the AAA and the highest-ranked journal across advertising, public relations, strategic communication, and marketing communication disciplines.

Dr. Kinshuk Jerath is the Arthur F. Burns Chair of Free and Competitive Enterprise and Professor of Business in the Marketing Division at Columbia Business School. His research focuses on technology-enabled marketing, with specific interests in online advertising, online and offline retailing, sales force management, and customer management.

Dr. Jerath’s work has been published in leading marketing and operations management journals, including Marketing Science, Journal of Marketing Research, Management Science, and Operations Research. He serves as an Associate Editor at Journal of Marketing Research, Management Science, Quantitative Marketing and Economics, and Journal of Retailing, as well as a Senior Editor at Production and Operations Management. He also sits on the editorial boards of several other top-tier journals, including Marketing Science.

He has been recognized by the Marketing Science Institute (MSI) as a Young Scholar (2013) and a Scholar (2018), and has received research grants from Amazon, Google, Adobe, and other institutions, including MSI. At Columbia Business School, he teaches courses on Digital Marketing, Frontiers of Retailing, and Customer Management. Beyond academia, Dr. Jerath has consulted Fortune 500 companies, served as an expert witness in several high-profile legal cases, and sits on the advisory boards of multiple startups.

He holds a B.Tech. in Computer Science and Engineering from the Indian Institute of Technology Bombay and a Ph.D. in Operations and Information Management from the Wharton School, University of Pennsylvania. He also served as Chair of the Marketing Division at Columbia Business School from 2022 to 2025, and previously taught at the Tepper School of Business, Carnegie Mellon University.

Dr. Laura F. Bright is the Director of the Nelson Center for Brand and Demand Analytics in the Moody College of Communication and an Associate Professor of Media Analytics in the Stan Richards School of Advertising and Public Relations at the University of Texas at Austin.

Her research examines consumer behavior in digital environments, with a focus on social media effects, consumer privacy, digital well-being, and data analytics. Dr. Bright’s work has been published in leading journals such as the Journal of Advertising, Journal of Business Research, International Journal of Advertising, Journal of Current Issues & Research in Advertising, Journal of Interactive Advertising, Computers in Human Behavior, Journal of Marketing Communications, Psychology & Marketing, and Internet Research, among others.

In the classroom, she teaches courses in media management, social media effects, personal brand management, and research methods. Dr. Bright has served as an Associate Editor for the Journal of Interactive Advertising and currently serves on the editorial review boards of several premier journals, including the Journal of Advertising, Journal of Advertising Research, Journal of Interactive Advertising, Journal of Current Issues & Research in Advertising, International Journal of Advertising, and the Journal of Social Media in Society.

Before joining academia, Dr. Bright spent over a decade in the interactive advertising industry in Austin, Texas, and continues to consult organizations on optimizing their digital presence. She is an active member of the American Academy of Advertising (AAA) and the European Academy of Advertising (EAA).

Dr. Ramesh Raskar is a Professor at the MIT Media Lab and Director of the Camera Culture Research Group. His work lies at the intersection of machine learning and imaging for health and sustainability, spanning innovations in sensors, health-tech, privacy-aware AI, and global-scale technologies such as geomaps and autonomous mobility.

At MIT, Dr. Raskar has co-invented several breakthrough technologies, including the camera that sees around corners, femto-photography, AutoML, split learning, low-cost eye-care devices (Netra, Catra, EyeSelfie), and 3D interaction displays (BiDi Screen). Previously, at Facebook, he led innovation teams in digital health, connectivity, satellite imaging, and VR/AR. He has received major recognitions such as the Lemelson–MIT Award (2016), ACM SIGGRAPH Achievement Award (2017), TR100 Award (2004), and DARPA Young Faculty Award (2010). His work has been featured in The New York Times, CNN, BBC, and MIT Technology Review, and he has delivered keynotes at TED, Wired, and Google Solve for X. Dr. Raskar holds over 90 U.S. patents and is the founder of REDX.io, a platform empowering young innovators to apply AI for Impact.