AOM PDW: Entrepreneurial Action and Artificial Intelligence: Implications for Theory, Research, and Practice
Sponsors: ENT, TIM, STR
Organizers: David Townsend (Virginia Tech) and Rick Hunt (Virginia Tech)
Presenters:
Panelist: Peter G. Klein, Baylor U.
Panelist: Moren Levesque, York U.
Panelist: Saras Sarasvathy, U. of Virginia
Panelist: Ben Jantzen, AI /ML Entrepreneur
Panelist: Sean Lorenz, AI/ML Entrepreneur
Details:
We will be hosting a PDW on "Entrepreneurial Action and Artificial Intelligence: Implications for Theory, Research, and Practice" at AOM. The PDW is scheduled for Friday, August 9, from 12:30-2:30PM in Boston Marriott Copley Place in the Tremont Room.
PDW Capsule:
Scholars are just beginning to grapple with the immense economic, social, and political transformations the emergence of artificial intelligence will effectuate in society. These issues are especially acute in the field of entrepreneurship where the advent of computationally intelligent machines is rapidly transforming the practice and funding of nascent stage ventures. The purpose of this PDW is to draw together an expert panel of both entrepreneurs who are building leading-edge AI ventures and leading theorists from the field of entrepreneurship for a robust discussion on the implications of AI for the field of entrepreneurship research. Among the topics the panelists will discuss includes a discussion on an emerging "augmentation thesis" that rejects the oppositional framing of AI versus human decision-making (i.e., humans versus the machine) in favor of a collaborative model whereby AI technologies augment and enhance the existing judgment-based and decision-making capabilities of entrepreneurs. Through these conversations, our objective is to stimulate interest and to forge collaborative research engagements among entrepreneurship scholars to develop novel research questions that investigate important issues emerging from the intersection of AI and entrepreneurship.
Format of the PDW
Part 1: Framing the Challenge
Practicing entrepreneurs will engage the audience with a robust overview of emerging trends and themes at the intersection of machine learning/artificial intelligence and the practice of entrepreneurship.
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Sean Lorenz
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Just Let the Machines Do It: The Role of AI in the Future Practice of Entrepreneurship
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Ben Jantzen
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Automated Discovery: When Machines Do Science
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Part 2: Scholarly Panel Discussion
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Saras Sarasvathy
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Future Contingencies & Machine Prediction: The Implications of AI for Effectuation Research
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Peter Klein
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Humans Need Not Apply? Implications of AI for Judgment-based Analysis
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Moren Levesque
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The Future is Computable: AI & Computational Methods in Entrepreneurship Research
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David Townsend
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Knowledge Problems & Augmented Adaptive Intelligence
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Part 3: Break-out for Roundtable Sessions
Participants will engage in small group discussions with the Expert Panelists on Key Research Questions and Emerging Lines of Inquiry.
Part 4: Integration and Wrap up
The roundtables will present the results of the break-out session for discussion and Q&A by the entire group.
The PDW is open without registration. Please direct all inquiries rickhunt@vt.edu or dtown@vt.edu
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Richard Hunt, Ph.D.
Assistant Professor of Strategy & Entrepreneurship
Research Director at the Apex Center for Entrepreneurs
Virginia Tech
Blacksburg VA
rickhunt@vt.edu------------------------------