DeepAI AI Chat
Log In Sign Up

Artificial Concepts of Artificial Intelligence: Institutional Compliance and Resistance in AI Startups

03/02/2022
by   Amy A. Winecoff, et al.
Princeton University
0

Scholars and industry practitioners have debated how to best develop interventions for ethical artificial intelligence (AI). Such interventions recommend that companies building and using AI tools change their technical practices, but fail to wrangle with critical questions about the organizational and institutional context in which AI is developed. In this paper, we contribute descriptive research around the life of "AI" as a discursive concept and organizational practice in an understudied sphere–emerging AI startups–and with a focus on extra-organizational pressures faced by entrepreneurs. Leveraging a theoretical lens for how organizations change, we conducted semi-structured interviews with 23 entrepreneurs working at early-stage AI startups. We find that actors within startups both conform to and resist institutional pressures. Our analysis identifies a central tension for AI entrepreneurs: they often valued scientific integrity and methodological rigor; however, influential external stakeholders either lacked the technical knowledge to appreciate entrepreneurs' emphasis on rigor or were more focused on business priorities. As a result, entrepreneurs adopted hyped marketing messages about AI that diverged from their scientific values, but attempted to preserve their legitimacy internally. Institutional pressures and organizational constraints also influenced entrepreneurs' modeling practices and their response to actual or impending regulation. We conclude with a discussion for how such pressures could be used as leverage for effective interventions towards building ethical AI.

READ FULL TEXT

page 1

page 2

page 3

page 4

11/11/2021

Governance of Ethical and Trustworthy AI Systems: Research Gaps in the ECCOLA Method

Advances in machine learning (ML) technologies have greatly improved Art...
07/08/2020

Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence

This paper explores the important role of critical science, and in parti...
02/04/2021

AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks

Despite interest in communicating ethical problems and social contexts w...
04/20/2022

Five Ps: Leverage Zones Towards Responsible AI

There is a growing debate amongst academics and practitioners on whether...
01/20/2023

Towards Openness Beyond Open Access: User Journeys through 3 Open AI Collaboratives

Open Artificial Intelligence (Open source AI) collaboratives offer alter...