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The Responsible Innovation Framework: A Framework for Integrating Trust and Delight into Technology Innovation

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dc.contributor.author Roy, Alka
dc.date.accessioned 2020-12-24T19:11:21Z
dc.date.available 2020-12-24T19:11:21Z
dc.date.issued 2021-01-05
dc.identifier.isbn 978-0-9981331-4-0
dc.identifier.uri http://hdl.handle.net/10125/70738
dc.description.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.
dc.format.extent 9 pages
dc.language.iso English
dc.relation.ispartof Proceedings of the 54th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Case Studies of Artificial Intelligence, Business Intelligence, Analytics Technologies for Industry Platforms
dc.subject human-centered design
dc.subject inclusion
dc.subject responsible innovation
dc.subject trust in ai
dc.title The Responsible Innovation Framework: A Framework for Integrating Trust and Delight into Technology Innovation
dc.identifier.doi 10.24251/HICSS.2021.126
prism.startingpage 1040
Appears in Collections: Case Studies of Artificial Intelligence, Business Intelligence, Analytics Technologies for Industry Platforms


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