The Responsible Innovation Framework: A Framework for Integrating Trust and Delight into Technology Innovation
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Date
2021-01-05
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1040
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Abstract
Although systematic biases in our intelligent systems and lack of privacy, equity, and ethical and trust considerations have entered AI and technology debate, we are still lacking a common practice-based framework for innovation that puts social well-being if not ahead at least on par with growing profits. And it has come at a cost that includes public trust. This paper introduces The Responsible Innovation Framework. This framework is intended for product and technology practitioners rather than relegating the responsibility only to compliance officers, risk assessors, privacy advocates, or ethicists. The paper 1) makes a case for using a common framework starting from ideation and vision stage 2) describes the “essential” components of the framework: stakeholders, value sets, and influencers 3) provides examples of how value sets could be leveraged in a flexible and iterative way for AI or Non-AI technology, and 4) lays out the need for additional work and case studies. The goal of the framework is to bring social considerations an essential part of technology decision making.
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Case Studies of Artificial Intelligence, Business Intelligence, Analytics Technologies for Industry Platforms, human-centered design, inclusion, responsible innovation, trust in ai
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9 pages
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Proceedings of the 54th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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